Example of PLOS ONE format
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Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format
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Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format Example of PLOS ONE format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access ISSN: 19326203
recommended Recommended

PLOS ONE — Template for authors

Publisher: PLOS
Categories Rank Trend in last 3 yrs
Multidisciplinary #9 of 110 down down by None rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 69589 Published Papers | 372024 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/06/2020
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

2.74

1% from 2018

Impact factor for PLOS ONE from 2016 - 2019
Year Value
2019 2.74
2018 2.776
2017 2.766
2016 2.806
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

5.3

2% from 2019

CiteRatio for PLOS ONE from 2016 - 2020
Year Value
2020 5.3
2019 5.2
2018 5.4
2017 5.7
2016 5.9
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 2% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.99

3% from 2019

SJR for PLOS ONE from 2016 - 2020
Year Value
2020 0.99
2019 1.023
2018 1.1
2017 1.164
2016 1.236
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.349

12% from 2019

SNIP for PLOS ONE from 2016 - 2020
Year Value
2020 1.349
2019 1.205
2018 1.167
2017 1.149
2016 1.124
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 12% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

open access Open Access e-ISSN: 23648228

Springer

CiteRatio: 2.3 | SJR: 0.407 | SNIP: 0.889
open access Open Access ISSN: 17419174 e-ISSN: 17419182

Inderscience Publishers

CiteRatio: 3.3 | SJR: 0.44 | SNIP: 1.047
open access Open Access ISSN: 280836 e-ISSN: 14764687
recommended Recommended

Nature

CiteRatio: 56.9 | SJR: 15.993 | SNIP: 9.249
open access Open Access ISSN: 20452322
recommended Recommended

Nature

Impact factor: 4.379 | CiteRatio: 7.1 | SJR: 1.24 | SNIP: 1.377

PLOS ONE

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PLOS

PLOS ONE

PLOS ONE features reports of original research from all disciplines within science and medicine. By not excluding papers on the basis of subject area, PLOS ONE facilitates the discovery of the connections between papers whether within or between disciplines.... Read More

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Last updated on
08 Jun 2020
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ISSN
1932-6203
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Impact Factor
High - 2.806
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Acceptance Rate
70%
i
Frequency
Upon Acceptance
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Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plos2015
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker CWJ. Specular Andreev Reflection in Graphene. Phys Rev Lett. 2006;97(6):067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0009490
FastTree 2--approximately maximum-likelihood trees for large alignments.
Morgan N. Price1, Paramvir S. Dehal1, Adam P. Arkin2, Adam P. Arkin1
10 Mar 2010 - PLOS ONE

Abstract:

Background We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. Background We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. read more read less
View PDF
7,488 Citations
open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0061217
phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.
Paul J. McMurdie1, Susan Holmes1
22 Apr 2013 - PLOS ONE

Abstract:

Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specif... Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data. Results Here we describe a software project, phyloseq, dedicated to the object-oriented representation and analysis of microbiome census data in R. It supports importing data from a variety of common formats, as well as many analysis techniques. These include calibration, filtering, subsetting, agglomeration, multi-table comparisons, diversity analysis, parallelized Fast UniFrac, ordination methods, and production of publication-quality graphics; all in a manner that is easy to document, share, and modify. We show how to apply functions from other R packages to phyloseq-represented data, illustrating the availability of a large number of open source analysis techniques. We discuss the use of phyloseq with tools for reproducible research, a practice common in other fields but still rare in the analysis of highly parallel microbiome census data. We have made available all of the materials necessary to completely reproduce the analysis and figures included in this article, an example of best practices for reproducible research. Conclusions The phyloseq project for R is a new open-source software package, freely available on the web from both GitHub and Bioconductor. read more read less

Topics:

Bioconductor (53%)53% related to the paper
View PDF
7,065 Citations
open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0019379
A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
04 May 2011 - PLOS ONE

Abstract:

Advances in next generation technologies have driven the costs of DNA sequencing down to the point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, we report a procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs). This ap... Advances in next generation technologies have driven the costs of DNA sequencing down to the point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, we report a procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs). This approach is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches. By using methylation-sensitive REs, repetitive regions of genomes can be avoided and lower copy regions targeted with two to three fold higher efficiency. This tremendously simplifies computationally challenging alignment problems in species with high levels of genetic diversity. The GBS procedure is demonstrated with maize (IBM) and barley (Oregon Wolfe Barley) recombinant inbred populations where roughly 200,000 and 25,000 sequence tags were mapped, respectively. An advantage in species like barley that lack a complete genome sequence is that a reference map need only be developed around the restriction sites, and this can be done in the process of sample genotyping. In such cases, the consensus of the read clusters across the sequence tagged sites becomes the reference. Alternatively, for kinship analyses in the absence of a reference genome, the sequence tags can simply be treated as dominant markers. Future application of GBS to breeding, conservation, and global species and population surveys may allow plant breeders to conduct genomic selection on a novel germplasm or species without first having to develop any prior molecular tools, or conservation biologists to determine population structure without prior knowledge of the genome or diversity in the species. read more read less

Topics:

Reference genome (63%)63% related to the paper, Genome (54%)54% related to the paper, Population (54%)54% related to the paper, Sequence-tagged site (54%)54% related to the paper, Whole genome sequencing (53%)53% related to the paper
View PDF
4,352 Citations
open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0021800
REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms
18 Jul 2011 - PLOS ONE

Abstract:

Outcomes of high-throughput biological experiments are typically interpreted by statistical testing for enriched gene functional categories defined by the Gene Ontology (GO). The resulting lists of GO terms may be large and highly redundant, and thus difficult to interpret. REVIGO is a Web server that summarizes long, unin... Outcomes of high-throughput biological experiments are typically interpreted by statistical testing for enriched gene functional categories defined by the Gene Ontology (GO). The resulting lists of GO terms may be large and highly redundant, and thus difficult to interpret. REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views. REVIGO is freely available at http://revigo.irb.hr/. read more read less

Topics:

Semantic similarity (58%)58% related to the paper, Tag cloud (51%)51% related to the paper
View PDF
3,799 Citations
open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0035671
Leishmaniasis Worldwide and Global Estimates of Its Incidence
31 May 2012 - PLOS ONE

Abstract:

As part of a World Health Organization-led effort to update the empirical evidence base for the leishmaniases, national experts provided leishmaniasis case data for the last 5 years and information regarding treatment and control in their respective countries and a comprehensive literature review was conducted covering public... As part of a World Health Organization-led effort to update the empirical evidence base for the leishmaniases, national experts provided leishmaniasis case data for the last 5 years and information regarding treatment and control in their respective countries and a comprehensive literature review was conducted covering publications on leishmaniasis in 98 regional level between 2007 and 2011. Two questionnaires regarding epidemiology and drug access were completed by experts and national program managers. Visceral and cutaneous leishmaniasis incidence ranges were estimated by country and epidemiological region based on reported incidence, underreporting rates if available, and the judgment of national and international experts. Based on these estimates, approximately 0.2 to 0.4 cases and 0.7 to 1.2 million VL and CL cases, respectively, occur each year. More than 90% of global VL cases occur in six countries: India, Bangladesh, Sudan, South Sudan, Ethiopia and Brazil. Cutaneous leishmaniasis is more widely distributed, with about one-third of cases occurring in each of three epidemiological regions, the Americas, the Mediterranean basin, and western Asia from the Middle East to Central Asia. The ten countries with the highest estimated case counts, Afghanistan, Algeria, Colombia, Brazil, Iran, Syria, Ethiopia, North Sudan, Costa Rica and Peru, together account for 70 to 75% of global estimated CL incidence. Mortality data were extremely sparse and generally represent hospital-based deaths only. Using an overall case-fatality rate of 10%, we reach a tentative estimate of 20,000 to 40,000 leishmaniasis deaths per year. Although the information is very poor in a number of countries, this is the first in-depth exercise to better estimate the real impact of leishmaniasis. These data should help to define control strategies and reinforce leishmaniasis advocacy. Funding: The Spanish Agency for International Cooperation for Development (AECID) has provided generous support to the WHO Leishmaniasis program since 2005. This support permitted among many other activities regional meetings with the AFRO, EURO, PAHO and SEARO countries, and provided for short term contracts for IDV, MdB, MH and JS related to the preparation of the country profiles. Sanofi provided a grant for a regional meeting with the EMRO countries and various activities related to the control of cutaneous Leishmaniasis in the EMRO region. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: alvarj@who.int . These authors contributed equally to this work " For a full list of the members of the WHO Leishmaniasis Control Team please see the Acknowledgments section. read more read less

Topics:

Cutaneous leishmaniasis (56%)56% related to the paper, Canine leishmaniasis (55%)55% related to the paper, Visceral leishmaniasis (52%)52% related to the paper, Leishmaniasis Vaccines (52%)52% related to the paper, Leishmaniasis (51%)51% related to the paper
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3,762 Citations