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Showing papers in "Scientometrics in 2015"


Journal ArticleDOI
TL;DR: A keyword analysis identifies the most popular subjects covered by bibliometric analysis, and multidisciplinary articles are shown to have the highest impact.
Abstract: Bibliometric methods or "analysis" are now firmly established as scientific specialties and are an integral part of research evaluation methodology especially within the scientific and applied fields. The methods are used increasingly when studying various aspects of science and also in the way institutions and universities are ranked worldwide. A sufficient number of studies have been completed, and with the resulting literature, it is now possible to analyse the bibliometric method by using its own methodology. The bibliometric literature in this study, which was extracted from Web of Science, is divided into two parts using a method comparable to the method of Jonkers et al. (Characteristics of bibliometrics articles in library and information sciences (LIS) and other journals, pp. 449---551, 2012: The publications either lie within the Information and Library Science (ILS) category or within the non-ILS category which includes more applied, "subject" based studies. The impact in the different groupings is judged by means of citation analysis using normalized data and an almost linear increase can be observed from 1994 onwards in the non-ILS category. The implication for the dissemination and use of the bibliometric methods in the different contexts is discussed. A keyword analysis identifies the most popular subjects covered by bibliometric analysis, and multidisciplinary articles are shown to have the highest impact. A noticeable shift is observed in those countries which contribute to the pool of bibliometric analysis, as well as a self-perpetuating effect in giving and taking references.

1,098 citations


Journal ArticleDOI
TL;DR: The study uses citation analysis to detect and visualize disciplinary distributions, keyword co-word networks and journal cocitation networks, highly cited references, as well as highly cited authors to identify intellectual turning points, pivotal points and emerging trends, in innovation systems system research from 1975 to 2012.
Abstract: Despite increasing awareness of the need to trace the trajectory of innovation system research, so far little attention has been given to quantitative depiction of the evolution of this fast-moving research field. This paper uses CiteSpace to demonstrate visually intellectual structures and developments. The study uses citation analysis to detect and visualize disciplinary distributions, keyword co-word networks and journal cocitation networks, highly cited references, as well as highly cited authors to identify intellectual turning points, pivotal points and emerging trends, in innovation systems system research from 1975 to 2012.

287 citations


Journal ArticleDOI
TL;DR: The results indicate that Brazil, Mexico, Chile, Argentina and Colombia are the only countries with a significant amount of publications in economics in Web of Science although Costa Rica and Uruguay have considerable results in per capita terms.
Abstract: Bibliometrics is a research field that studies quantitatively the bibliographic material. This study analyzes the academic research developed in Latin America in economics between 1994 and 2013. The article uses the Web of Science database in order to collect the information and provides several bibliometric indicators including the total number of publications and citations, and the h-index. The results indicate that Brazil, Mexico, Chile, Argentina and Colombia are the only countries with a significant amount of publications in economics in Web of Science although Costa Rica and Uruguay have considerable results in per capita terms. The annual evolution shows a significant increase during the last 5 years that seems to continue in the future, probably with the objective of reaching similar standards than the most competitive countries around the World. The results also show that development, agricultural and health economics are the most significant topics in the region.

238 citations


Journal ArticleDOI
TL;DR: The objective of this paper is to propose the methodology called Methodi Ordinatio, which presents criteria to select scientific articles, and the most relevant papers on technology transfer models are presented.
Abstract: An increase in the number of scientific publications in the last few years, which is directly proportional to the appearance of new journals, has made the researchers' job increasingly complex and extensive regarding the selection of bibliographic material to support their research. Not only is it a time consuming task, it also requires suitable criteria, since the researchers need to elect systematically the most relevant literature works. Thus the objective of this paper is to propose the methodology called Methodi Ordinatio, which presents criteria to select scientific articles. This methodology employs an adaptation of the ProKnow-C for selection of publications and the InOrdinatio, which is an index to rank by relevance the works selected. This index crosses the three main factors under evaluation in a paper: impact factor, year of publication and number of citations. When applying the equation, the researchers identify among the works selected the most relevant ones to be in their bibliographic portfolio. As a practical application, it is provided a research sample on the theme technology transfer models comprising papers from 1990 to 2015. The results indicated that the methodology is efficient regarding the objectives proposed, and the most relevant papers on technology transfer models are presented.

195 citations


Journal ArticleDOI
TL;DR: The trends and patterns of scientometrics in the journal Scientometrics were revealed by measuring the association strength of selected keywords which represent the produced concept and idea in the field ofScientometrics.
Abstract: 959 full text articles has been studied to explore the intellectual structure of scientometrics in the period 2005---2010 using text mining and co-word analysis. The trends and patterns of scientometrics in the journal Scientometrics were revealed by measuring the association strength of selected keywords which represent the produced concept and idea in the field of scientometrics. All articles were collected from the journal Scientometrics through Springerlink (full text database) and keywords were added non-parametrically from the LISA database and the articles themselves (keywords provided by author). Other important keywords are extracted from the title and abstract of the article manually. These keywords are standardized using a vocabulary tool. With the objective of delineating dynamic changes of the field of scientometrics, the period 2005---2010 was studied and further divided into two consecutive periods: 2005---2007 and 2008---2010. The results show that publication has some well-established topics which are changing gradually to adopt new themes.

170 citations


Journal ArticleDOI
TL;DR: In this paper, the difference in the impact between open access (OA) and non-Open Access (non-OA) articles was analyzed from the static versus temporal-dynamic perspectives.
Abstract: In this study, we compare the difference in the impact between open access (OA) and non-open access (non-OA) articles. 1761 Nature Communications articles published from 1 January 2012 to 31 August 2013 are selected as our research objects, including 587 OA articles and 1174 non-OA articles. Citation data and daily updated article-level metrics data are harvested directly from the platform of nature.com. Data is analyzed from the static versus temporal-dynamic perspectives. The OA citation advantage is confirmed, and the OA advantage is also applicable when extending the comparing from citation to article views and social media attention. More important, we find that OA papers not only have the great advantage of total downloads, but also have the feature of keeping sustained and steady downloads for a long time. For article downloads, non-OA papers only have a short period of attention, when the advantage of OA papers exists for a much longer time.

165 citations


Journal ArticleDOI
TL;DR: This study involved using three methods, namely keyword, bibliographic coupling, and co-citation analyses, for tracking the changes of research subjects in library and information science (LIS) during 4 periods (5 years each) between 1995 and 2014, which revealed that the two subjects “information seeking (IS) and information retrieval (IR)” and “bibliometrics” appeared in all 4 phases.
Abstract: This study involved using three methods, namely keyword, bibliographic coupling, and co-citation analyses, for tracking the changes of research subjects in library and information science (LIS) during 4 periods (5 years each) between 1995 and 2014. We examined 580 highly cited LIS articles, and the results revealed that the two subjects "information seeking (IS) and information retrieval (IR)" and "bibliometrics" appeared in all 4 phases. However, a decreasing trend was observed in the percentage of articles related to IS and IR, whereas an increasing trend was identified in the percentage of articles focusing on bibliometrics. Particularly, in the 3rd phase (2005---2009), the proportion of articles on bibliometrics exceeded 80 %, indicating that bibliometrics became predominant. Combining various methods to explore research trends in certain disciplines facilitates a deeper understanding for researchers of the development of disciplines.

164 citations


Journal ArticleDOI
Lutz Bornmann1
TL;DR: In this paper, the authors provide an overview of research into three of the most important altmetrics: microblogging (Twitter), online reference managers (Mendeley and CiteULike) and blogging.
Abstract: Alternative metrics are currently one of the most popular research topics in scientometric research. This paper provides an overview of research into three of the most important altmetrics: microblogging (Twitter), online reference managers (Mendeley and CiteULike) and blogging. The literature is discussed in relation to the possible use of altmetrics in research evaluation. Since the research was particularly interested in the correlation between altmetrics counts and citation counts, this overview focuses particularly on this correlation. For each altmetric, a meta-analysis is calculated for its correlation with traditional citation counts. As the results of the meta-analyses show, the correlation with traditional citations for micro-blogging counts is negligible (pooled r = 0.003), for blog counts it is small (pooled r = 0.12) and for bookmark counts from online reference managers, medium to large (CiteULike pooled r = 0.23; Mendeley pooled r = 0.51).

152 citations


Journal ArticleDOI
TL;DR: It is found that a number of landmark studies in 1980s and 1990s and techniques such as LDA, pLSI, and matrix factorization have tremendously influenced the development of the recommendation systems research.
Abstract: Recommendation systems have drawn an increasingly broad range of interest since early 1990s. Recently, a search with the query of "recommendation systems" on Google Scholar found over 32,000 documents. As the volume of the literature grows rapidly, thus, a systematic review of the diverse research field and its current challenges becomes essential. This study surveys the literature of recommendation systems between 1992 and 2014. The overall structure of its intellectual landscape is illustrated in terms of thematic concentrations of co-cited references and emerging trends of bursting keywords and citations to references. Our review is based on two sets of bibliographic records retrieved from the Web of Science. The core dataset, obtained through a topic search, contains 2573 original research and review articles. The expanded dataset, consisting of 12,916 articles and reviews, was collected by citation expansion. We identified intellectual landscapes, landmark articles and bursting keywords of the domain in core and broader perspectives. We found that a number of landmark studies in 1980s and 1990s and techniques such as LDA, pLSI, and matrix factorization have tremendously influenced the development of the recommendation systems research. Furthermore, our study reveals that the field of recommendation systems is still evolving and developing. Thematic trends in recommendation systems research reflect the development of a wide variety of information systems such as the World Wide Web and social media. Finally, collaborative filtering has been a dominant research concept of the field. Recent emerging topics focus on enhancing the effectiveness of recommendation systems by addressing diverse challenges.

137 citations


Journal ArticleDOI
TL;DR: In this paper, the authors used a large, novel data set on citations to scientific papers published between 1998 and 2002 drawn from Scopus and compared the power-law model with a number of alternative models using a likelihood ratio test.
Abstract: Modeling distributions of citations to scientific papers is crucial for understanding how science develops. However, there is a considerable empirical controversy on which statistical model fits the citation distributions best. This paper is concerned with rigorous empirical detection of power-law behaviour in the distribution of citations received by the most highly cited scientific papers. We have used a large, novel data set on citations to scientific papers published between 1998 and 2002 drawn from Scopus. The power-law model is compared with a number of alternative models using a likelihood ratio test. We have found that the power-law hypothesis is rejected for around half of the Scopus fields of science. For these fields of science, the Yule, power-law with exponential cut-off and log-normal distributions seem to fit the data better than the pure power-law model. On the other hand, when the power-law hypothesis is not rejected, it is usually empirically indistinguishable from most of the alternative models. The pure power-law model seems to be the best model only for the most highly cited papers in "Physics and Astronomy". Overall, our results seem to support theories implying that the most highly cited scientific papers follow the Yule, power-law with exponential cut-off or log-normal distribution. Our findings suggest also that power laws in citation distributions, when present, account only for a very small fraction of the published papers (less than 1 % for most of science fields) and that the power-law scaling parameter (exponent) is substantially higher (from around 3.2 to around 4.7) than found in the older literature.

126 citations


Journal ArticleDOI
TL;DR: Three empirical methods are presented, apply and discussed: an external estimate based on empirical studies of Google Scholar coverage, and two internal estimate methods based on direct, empty and absurd queries, respectively, which place the estimated size of Google scholar at around 160–165 million documents.
Abstract: The emergence of academic search engines (mainly Google Scholar and Microsoft Academic Search) that aspire to index the entirety of current academic knowledge has revived and increased interest in the size of the academic web. The main objective of this paper is to propose various methods to estimate the current size (number of indexed documents) of Google Scholar (May 2014) and to determine its validity, precision and reliability. To do this, we present, apply and discuss three empirical methods: an external estimate based on empirical studies of Google Scholar coverage, and two internal estimate methods based on direct, empty and absurd queries, respectively. The results, despite providing disparate values, place the estimated size of Google Scholar at around 160---165 million documents. However, all the methods show considerable limitations and uncertainties due to inconsistencies in the Google Scholar search functionalities.

Journal ArticleDOI
TL;DR: This paper combines two techniques—bibliographic coupling and co-citation analysis—to visualize the network of publications that explicitly use the label ‘open innovation’ and to arrive at distinct clusters of thematically related publications.
Abstract: The concept of open innovation has attracted considerable attention since Henry Chesbrough first coined it to capture the increasing reliance of firms on external sources of innovation. Although open innovation has flourished as a topic within innovation management research, it has also triggered debates about the coherence of the research endeavors pursued under this umbrella, including its theoretical foundations. In this paper, we aim to contribute to these debates through a bibliometric review of the first decade of open innovation research. We combine two techniques--bibliographic coupling and co-citation analysis--to (1) visualize the network of publications that explicitly use the label `open innovation' and (2) to arrive at distinct clusters of thematically related publications. Our findings illustrate that open innovation research builds principally on four related streams of prior research, whilst the bibliographic network of open innovation research reveals that seven thematic clusters have been pursued persistently. While such persistence is undoubtedly useful to arrive at in-depth and robust insights, the observed patterns also signal the absence of new, emerging, themes. As such, `open innovation' might benefit from applying its own ideas: sourcing concepts and models from a broader range of theoretical perspectives as well as pursuing a broader range of topics might introduce dynamics resulting in more impact and proliferation.

Journal ArticleDOI
Ping Xie1
TL;DR: A bibliometric analysis of anticancer research literature based on the data from the Web of Science indicated that the USA is the most productive country and the Chinese Acad.
Abstract: The aim of this work is to make a bibliometric analysis of anticancer research literature based on the data from the Web of Science. Anticancer drug research references published from 2000 to 2014 were used. Citespace software was employed to generate the knowledge maps of country/institution, cited authors, cited journals, co-words and cited references related with anticancer drug research. Results of this analysis indicated that the USA is the most productive country and the Chinese Acad. Sci. is the most productive institution in this field. Maeda H is the most influential author, leading the highest citation author group. "CANCER RES" is the most cited journal in which the most influential anticancer drug research articles were published. Mosmann's (1983) paper is a representative and symbolic reference with the highest co-citation of number of 146 (centrality 0.29). The five hot anticancer drug research topics were also disclosed; they are: (1) chemotherapy drugs, (2) drug delivery, (3) bioscreening, (4) drug resistance research, and (5) enzyme inhibitor studies. Research frontiers identified included drug delivery with nanoparticles, controlled release, metabolism and so on. These analyses will be valuable for the reader to grasp an overall picture of anticancer research and research trends during these years.

Journal ArticleDOI
TL;DR: It is concluded that the scientific citation process acts relatively independently of the social dynamics on Twitter, and is predictive of other social media activity.
Abstract: An analysis of article-level metrics of 27,856 PLOS ONE articles reveals that the number of tweets was weakly associated with the number of citations (β = 0.10), and weakly negatively associated with citations when the number of article views was held constant (β = ?0.06). The number of tweets was predictive of other social media activity (β = 0.34 for Mendeley and β = 0.41 for Facebook), but not of the number of article views on PubMed Central (β = 0.01). It is concluded that the scientific citation process acts relatively independently of the social dynamics on Twitter.

Journal ArticleDOI
TL;DR: A strong interrelationship between perceived journal reputation and relevance is found where a journal’s perceived relevance has a stronger effect on its reputation than vice versa, suggesting that a journals’ relevance is driven by average article quality, while reputation depends more on truly exceptional articles.
Abstract: This paper analyses the interrelationship between perceived journal reputation and its relevance for academics' work. Based on a survey of 705 members of the German Economic Association (GEA), we find a strong interrelationship between perceived journal reputation and relevance where a journal's perceived relevance has a stronger effect on its reputation than vice versa. Moreover, past journal ratings conducted by the Handelsblatt and the GEA directly affect journals' reputation among German economists and indirectly also their perceived relevance, but the effect on reputation is more than twice as large as the effect on perceived relevance. In general, citations have a non-linear impact on perceived journal reputation and relevance. While the number of landmark articles published in a journal (as measured by the so-called H-index) increases the journal's reputation, an increase in the H-index even tends to decrease a journal's perceived relevance, as long as this is not simultaneously reflected in a higher Handelsblatt and/or GEA rating. This suggests that a journal's relevance is driven by average article quality, while reputation depends more on truly exceptional articles. We also identify significant differences in the views on journal relevance and reputation between different age groups.

Journal ArticleDOI
TL;DR: The research of this paper will become a significant reference source for theoretical researchers and practitioners working in the area of information fusion, decision making and operations research.
Abstract: As one of the most important tool for information fusion, aggregation operator has successful application in decision making, combination forecasting, military operations research and so on. Therefore, the focus of this paper is to present in a scientometrics review on the development of aggregation operator. The records adopted in this paper were downloaded from Web of Science. The useful information visualization software called CiteSpace II was utilized to analysis and visualizes the development of the discipline of aggregation operator. According to the results of this study, the main research clusters of this area and their corresponding key elements can be revealed. The close relationship between the different clusters, main journals, and important authors can be found out and shown in a visualization and quantitative way. The research of this paper will become a significant reference source for theoretical researchers and practitioners working in the area of information fusion, decision making and operations research.

Journal ArticleDOI
TL;DR: The apparent productivity of African science, as measured by publications to gross domestic product, has risen in recent years to a level above the world average, although, when one looks at the equivalent ratio after it has been normalized by population, there is still a huge gap to overcome.
Abstract: The number of scientific papers published by researchers in Africa has been rising faster than the total world scientific output in recent years. This trend is relevant, as for a long period up until 1996, Africa's share of the world scientific output remained below 1.5 %. The propensity to publish in the continent has risen particularly fast since 2004, suggesting that a possible take-off of African science is taking place. This paper highlights that, in parallel with this most recent growth in output, the apparent productivity of African science, as measured by publications to gross domestic product, has risen in recent years to a level above the world average, although, when one looks at the equivalent ratio after it has been normalized by population, there is still a huge gap to overcome. Further it is shown that publications from those few African countries whose scientific communities demonstrate higher levels of specialization and integration in international networks, have a higher impact than the world average. Additionally, the paper discusses the potential applications of the new knowledge that has been produced by African researchers, highlighting that so far, South Africa seems to be the only African country where a reasonable part of that new knowledge seems to be connecting with innovation.

Journal ArticleDOI
TL;DR: The conceptual evolution of qualitative research in the field of marketing from 1956 to 2011 is examined, identifying the main themes and applications for which it has been used and the trends for the future.
Abstract: This article examines the conceptual evolution of qualitative research in the field of marketing from 1956 to 2011, identifying the main themes and applications for which it has been used and the trends for the future. Science mapping analysis was employed, using co-word networks in a longitudinal framework. Science mapping analysis differs from other tools in that it includes the use of bibliometric indicators. The great number of studies published makes it possible to undertake a conceptual analysis of how qualitative marketing research has evolved. To show the conceptual evolution of qualitative marketing research, four study periods were chosen. The results made it possible to identify eight thematic areas that employ qualitative research in the field of marketing: Consumer behaviour, Supply chain management, Dynamic capabilities, Methodology, Media, Business to business marketing, International Marketing and Customer Satisfaction.

Journal ArticleDOI
TL;DR: This work has devised a systematic methodology to help identify research relating to Big Data, and suggests that such a systematic search approach can help formulate more replicable searches with high recall and satisfactory precision for other emerging technology studies.
Abstract: Bibliometric and "tech mining" studies depend on a crucial foundation--the search strategy used to retrieve relevant research publication records. Database searches for emerging technologies can be problematic in many respects, for example the rapid evolution of terminology, the use of common phraseology, or the extent of "legacy technology" terminology. Searching on such legacy terms may or may not pick up R&D pertaining to the emerging technology of interest. A challenge is to assess the relevance of legacy terminology in building an effective search model. Common-usage phraseology additionally confounds certain domains in which broader managerial, public interest, or other considerations are prominent. In contrast, searching for highly technical topics is relatively straightforward. In setting forth to analyze "Big Data," we confront all three challenges--emerging terminology, common usage phrasing, and intersecting legacy technologies. In response, we have devised a systematic methodology to help identify research relating to Big Data. This methodology uses complementary search approaches, starting with a Boolean search model and subsequently employs contingency term sets to further refine the selection. The four search approaches considered are: (1) core lexical query, (2) expanded lexical query, (3) specialized journal search, and (4) cited reference analysis. Of special note here is the use of a "Hit-Ratio" that helps distinguish Big Data elements from less relevant legacy technology terms. We believe that such a systematic search development positions us to do meaningful analyses of Big Data research patterns, connections, and trajectories. Moreover, we suggest that such a systematic search approach can help formulate more replicable searches with high recall and satisfactory precision for other emerging technology studies.

Journal ArticleDOI
TL;DR: The practicalities and effectiveness of web mining as a research method for innovation studies are examined, using web mining to explore the R&D activities of 296 UK-based green goods small and mid-size enterprises.
Abstract: As enterprises expand and post increasing information about their business activities on their websites, website data promises to be a valuable source for investigating innovation. This article examines the practicalities and effectiveness of web mining as a research method for innovation studies. We use web mining to explore the R&D activities of 296 UK-based green goods small and mid-size enterprises. We find that website data offers additional insights when compared with other traditional unobtrusive research methods, such as patent and publication analysis. We examine the strengths and limitations of enterprise innovation web mining in terms of a wide range of data quality dimensions, including accuracy, completeness, currency, quantity, flexibility and accessibility. We observe that far more companies in our sample report undertaking R&D activities on their web sites than would be suggested by looking only at conventional data sources. While traditional methods offer information about the early phases of R&D and invention through publications and patents, web mining offers insights that are more downstream in the innovation process. Handling website data is not as easy as alternative data sources, and care needs to be taken in executing search strategies. Website information is also self-reported and companies may vary in their motivations for posting (or not posting) information about their activities on websites. Nonetheless, we find that web mining is a significant and useful complement to current methods, as well as offering novel insights not easily obtained from other unobtrusive sources.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the effect of the demise of the Soviet Union in 1991 on the scientific performance of researchers in Eastern European countries and found that the breakdown of the communist regime did not lead to a huge improvement in the publication performance of the researchers in these countries.
Abstract: Did the demise of the Soviet Union in 1991 influence the scientific performance of the researchers in Eastern European countries? Did this historical event affect international collaboration by researchers from the Eastern European countries with those of Western countries? Did it also change international collaboration among researchers from the Eastern European countries? Trying to answer these questions, this study aims to shed light on international collaboration by researchers from the Eastern European countries (Russia, Ukraine, Belarus, Moldova, Bulgaria, the Czech Republic, Hungary, Poland, Romania, and Slovakia). The number of publications and normalized citation impact values are compared for these countries based on InCites (Thomson Reuters), from 1981 up to 2011. The international collaboration by researchers affiliated to institutions in Eastern European countries at the time points of 1990, 2000 and 2011 was studied with the help of Pajek and VOSviewer software, based on data from the Science Citation Index (Thomson Reuters). Our results show that the breakdown of the communist regime did not lead, on average, to a huge improvement in the publication performance of the Eastern European countries and that the increase in international co-authorship relations by the researchers affiliated to institutions in these countries was smaller than expected. Most of the Eastern European countries are still subject to changes and are still awaiting their boost in scientific development.

Journal ArticleDOI
TL;DR: The collaboration structures and dynamics of the co-authorship network of all Slovenian researchers are examined to identify the key factors driving collaboration and the main differences in collaboration behavior across scientific fields and disciplines.
Abstract: This paper examines the collaboration structures and dynamics of the co-authorship network of all Slovenian researchers. Its goal is to identify the key factors driving collaboration and the main differences in collaboration behavior across scientific fields and disciplines. Two approaches to modelling network dynamics are combined in this paper: the small-world model and the mechanism of preferential attachment, also known as the process of cumulative advantage. Stochastic-actor-based modelling of co-authorship network dynamics uses data for the complete longitudinal co-authorship networks for the entire Slovenian scientific community from 1996 to 2010. We confirmed the presence of clustering in all fields and disciplines. Preferential attachment is far more complex than a single global mechanism. There were two clear distinctions regarding collaboration within scientific fields and disciplines. One was that some fields had an internal national saturation inhibiting further collaboration. The second concerned the differential impact of collaboration with scientists from abroad on domestic collaboration. In the natural, technical, medical, and biotechnical sciences, this promotes collaboration within the Slovenian scientific community while in the social sciences and humanities this inhibits internal collaboration.

Journal ArticleDOI
TL;DR: A systematic survey of prices charged by Open Access journals indexed in Scopus revealed a moderate correlation between the APCs and Source Normalized Impact per Paper values, a measure of citation rates, which would seem to indicate that while publishers to some extent take the quality into account when pricing their journals, authors are even more sensitive to the relationship between price and quality in their choices of where to submit their manuscripts.
Abstract: The subscription prices of peer-reviewed journals have in the past not been closely related to the scientific quality. This relationship has been further obscured by bundled e-licenses. The situation is different for Open Access (OA) journals that finance their operations via article processing charges (APCs). Due to competition and the fact that authors are often directly involved in making APC payments from their own or other limited funds, APC pricing has so far been sensitive to the quality and services offered by journals. We conducted a systematic survey of prices charged by OA journals indexed in Scopus and this revealed a moderate (0.40) correlation between the APCs and Source Normalized Impact per Paper values, a measure of citation rates. When weighted by article volumes the correlations between the quality and the price were significantly higher (0.67). This would seem to indicate that while publishers to some extent take the quality into account when pricing their journals, authors are even more sensitive to the relationship between price and quality in their choices of where to submit their manuscripts.

Journal ArticleDOI
TL;DR: Combining Bibliometrics and Information Retrieval as discussed by the authors is a special issue of the 14th International Conference of Scientometrics, Informetrics and Informets, Vienna, July 14-19, 2013.
Abstract: This special issue brings together eight papers from experts of communities which often have been perceived as different once: bibliometrics, scientometrics and informetrics on the one side and information retrieval on the other. The idea of this special issue started at the workshop "Combining Bibliometrics and Information Retrieval" held at the 14th International Conference of Scientometrics and Informetrics, Vienna, July 14---19, 2013. Our motivation as guest editors started from the observation that main discourses in both fields are different, that communities are only partly overlapping and from the belief that a knowledge transfer would be profitable for both sides.

Journal ArticleDOI
TL;DR: It is indicated that national rankings tend to include a larger number of indicators that primarily focus on educational and institutional parameters, whereas global ranking systems tend to have fewer indicators mainly focusing on research performance.
Abstract: Recent interest towards university rankings has led to the development of several ranking systems at national and global levels. Global ranking systems tend to rely on internationally accessible bibliometric databases and reputation surveys to develop league tables at a global level. Given their access and in-depth knowledge about local institutions, national ranking systems tend to include a more comprehensive set of indicators. The purpose of this study is to conduct a systematic comparison of national and global university ranking systems in terms of their indicators, coverage and ranking results. Our findings indicate that national rankings tend to include a larger number of indicators that primarily focus on educational and institutional parameters, whereas global ranking systems tend to have fewer indicators mainly focusing on research performance. Rank similarity analysis between national rankings and global rankings filtered for each country suggest that with the exception of a few instances global rankings do not strongly predict the national rankings.

Journal ArticleDOI
TL;DR: A co-occurrence matrix based on Pearson’s correlation coefficient was used to create a clustering of the words using the hierarchical clustering technique and a multidimensional scaling analysis was carried out to visualize these intellectual structures.
Abstract: The study utilized co-word analysis to explore papers in the field of Internet of Things to examine the scientific development in the area The research data were retrieved from the WOS database from the period between 2000 and 2014, which consists of 758 papers By using co-word analysis, this study found 7 clusters that represent the intellectual structure of IoT, including `IoT and Security', `Middleware', `RFID', `Internet', `Cloud computing', `Wireless sensor networks' and `6LoWPAN' To understand these intellectual structures, this study used a co-occurrence matrix based on Pearson's correlation coefficient to create a clustering of the words using the hierarchical clustering technique To visualize these intellectual structures, this study carried out a multidimensional scaling analysis, to which a PROXCAL algorithm was applied

Journal ArticleDOI
TL;DR: The aim of the study was to find out about the sources of full-text items and to look at subject differences in terms of number of versions, times cited, rate of open access availability and sources ofFull-text files in Google Scholar.
Abstract: Google Scholar, a widely used academic search engine, plays a major role in finding free full-text versions of articles. But little is known about the sources of full-text files in Google Scholar. The aim of the study was to find out about the sources of full-text items and to look at subject differences in terms of number of versions, times cited, rate of open access availability and sources of full-text files. Three queries were created for each of 277 minor subject categories of Scopus. The queries were searched in Google Scholar and the first ten hits for each query were analyzed. Citations and patents were excluded from the results and the time frame was limited to 2004---2014. Results showed that 61.1 % of articles were accessible in full-text in Google Scholar; 80.8 % of full-text articles were publisher versions and 69.2 % of full-text articles were PDF. There was a significant difference between the means of times cited of full text items and non-full-text items. The highest rate of full text availability for articles belonged to life science (66.9 %). Publishers' websites were the main source of bibliographic information for non-full-text articles. For full-text articles, educational (edu, ac.xx etc.) and org domains were top two sources of full text files. ResearchGate was the top single website providing full-text files (10.5 % of full-text articles).

Journal ArticleDOI
TL;DR: In this article, the authors introduce the theoretical origins of null hypothesis statistical significance tests (NHST) and discuss some of the most prevalent problems relating to the practice of NHST and trace these problems back to the mix-up of the two different theoretical origins.
Abstract: Null hypothesis statistical significance tests (NHST) are widely used in quantitative research in the empirical sciences including scientometrics. Nevertheless, since their introduction nearly a century ago significance tests have been controversial. Many researchers are not aware of the numerous criticisms raised against NHST. As practiced, NHST has been characterized as a `null ritual' that is overused and too often misapplied and misinterpreted. NHST is in fact a patchwork of two fundamentally different classical statistical testing models, often blended with some wishful quasi-Bayesian interpretations. This is undoubtedly a major reason why NHST is very often misunderstood. But NHST also has intrinsic logical problems and the epistemic range of the information provided by such tests is much more limited than most researchers recognize. In this article we introduce to the scientometric community the theoretical origins of NHST, which is mostly absent from standard statistical textbooks, and we discuss some of the most prevalent problems relating to the practice of NHST and trace these problems back to the mix-up of the two different theoretical origins. Finally, we illustrate some of the misunderstandings with examples from the scientometric literature and bring forward some modest recommendations for a more sound practice in quantitative data analysis.

Journal ArticleDOI
TL;DR: In this article, the authors demonstrate that almost all disciplines show similar numbers of references in the appendices of their papers and suggest that the average citation rate is far more influenced by the extent to which the papers (cited as references) are included in Web of Science (WoS) as linked database records.
Abstract: It is well known in bibliometrics that the average number of citations per paper differs greatly between the various disciplines The differing citation culture (in particular the different average number of references per paper and thereby the different probability of being cited) is widely seen as the cause of this variation Based on all Web of Science (WoS) records published in 1990, 1995, 2000, 2005, and 2010 we demonstrate that almost all disciplines show similar numbers of references in the appendices of their papers Our results suggest that the average citation rate is far more influenced by the extent to which the papers (cited as references) are included in WoS as linked database records For example, the comparatively low citation rates in the humanities are not at all the result of a lower average number of references per paper but are caused by the low fraction of linked references which refer to papers published in the core journals covered by WoS

Journal ArticleDOI
TL;DR: A bibliometric analysis method is used to probe into the evolution of China’s science and technology policies from 1949 to 2010, and the roles of core government agencies in policy-making, finding the focus of Chinese S&T policies is mainly on applied research and industrialization, rather than basic research.
Abstract: This paper uses a bibliometric analysis method to probe into the evolution of China's science and technology policies from 1949 to 2010, and the roles of core government agencies in policy-making. We obtained 4,707 Chinese ST second, more and more government agencies are involved in making ST last but not least, the influence of different S&T policies is determined by the administrative ranking of the policy-making agencies responsible for drafting those policies.