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JournalISSN: 1386-6710

Profesional De La Informacion 

Ediciones Profesionales de la Informacion SL
About: Profesional De La Informacion is an academic journal. The journal publishes majorly in the area(s): Social media & The Internet. It has an ISSN identifier of 1386-6710. Over the lifetime, 1872 publications have been published receiving 13307 citations.


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TL;DR: In this article, the authors analyze the influence of the Covid-19 virus on the consumo de noticias, the credibilidad of ciudadanos to the media, and their ability to detect false news.
Abstract: El Covid-19 es un fenomeno de una magnitud y relevancia enormes. Su impacto ha afectado a diversos dominios sociales, entre ellos los medios y el periodismo. Desde el inicio de esta crisis sanitaria, las noticias se han convertido en un valioso recurso para la ciudadania. Estudiar sus dinamicas de consumo informativo es altamente relevante tanto por su capacidad de transformar el sistema mediatico como por su incidencia democratica. El objetivo de esta investigacion es analizar la influencia del nuevo coronavirus en el consumo de noticias, la credibilidad otorgada por los ciudadanos a los medios y su capacidad para detectar noticias falsas. Para responder a estas cuestiones, se realiza un analisis exploratorio e inicial a partir de los datos secundarios de las encuestas online del Pew Research Center’s American Trends Panel en Estados Unidos, comparando antes y despues del brote. Los resultados avalan el impacto del Covid-19 sobre el sistema mediatico. Los hallazgos sugieren la emergencia de importantes novedades como el resurgimiento del protagonismo de los medios tradicionales, especialmente de la television, y la reconexion a las noticias de los ciudadanos mas alejados de la informacion. Con ello se han reducido, en parte, las desigualdades existentes respecto al consumo de noticias entre los ciudadanos. Esto genera potenciales beneficios para la democracia en terminos de igualdad y accesibilidad en relacion a los asuntos publicos.

132 citations

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TL;DR: It is concluded that Altmetric.com is a transparent, rich and accurate tool for altmetric data, Nevertheless, there are still potential limitations on its exhaustiveness as well as on the selection of social media sources that need further research.
Abstract: This paper analyzes Altmetric.com , one of the most important altmetric data providers currently used. We have analyzed a set of publications with doi number indexed in the Web of Science during the period 2011-2013 and collected their data with the Altmetric API. 19% of the original set of papers was retrieved from Altmetric.com including some altmetric data. We identified 16 different social media sources from which Altmetric.com retrieves data. However five of them cover 95.5% of the total set. Twitter (87.1%) and Mendeley (64.8%) have the highest coverage. We conclude that Altmetric.com is a transparent, rich and accurate tool for altmetric data. Nevertheless, there are still potential limitations on its exhaustiveness as well as on the selection of social media sources that need further research.

120 citations

Journal ArticleDOI

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TL;DR: This brief communication presents both a global map with the functionality of a Google Map (zooming, etc.) and network maps based on normalized relations, which reveal complementary aspects of the network.
Abstract: The network of international co-authorship relations has been dominated by certain European nations and the USA, but this network is rapidly expanding at the global level. Between 40 and 50 countries appear in the center of the international network in 2011, and almost all (201) nations are nowadays involved in international collaboration. In this brief communication, we present both a global map with the functionality of a Google Map (zooming, etc.) and network maps based on normalized relations. These maps reveal complementary aspects of the network. International collaboration in the generation of knowledge claims (that is, the context of discovery) changes the structural layering of the sciences. Previously, validation was at the global level and discovery more dependent on local contexts. This changing relationship between the geographical and intellectual dimensions of the sciences also has implications for national science policies.

111 citations

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TL;DR: This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools.
Abstract: Bibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation between universities, the effect of state-owned science funding on national research and development performance and educational efficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools. The included tools were divided into three categories: general bibliometric and performance analysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of the database sources support, pre-processing capabilities, analysis and visualization options were also provided in order to facilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric and scientometric analysis, they have been developed for a different purpose. The number of exportable records is between 500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzed tools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny. VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMAT is the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need to decide the desired analysis output and chose the option that better fits into their aims.

105 citations

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98 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202372
2022120
2021124
2020226
2019136
2018121