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
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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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 2.3
SJR: 0.407
SNIP: 0.889
open access Open Access

Inderscience Publishers

Quality:  
High
CiteRatio: 3.3
SJR: 0.44
SNIP: 1.047
open access Open Access
recommended Recommended

Nature

Quality:  
High
CiteRatio: 56.9
SJR: 15.993
SNIP: 9.249
open access Open Access
recommended Recommended

Nature

Quality:  
High
Impact factor: 4.379
CiteRatio: 7.1
SJR: 1.24
SNIP: 1.377

Journal Performance & Insights

Impact Factor

CiteRatio

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.

A measure of average citations received per peer-reviewed paper published in the journal.

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

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

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

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)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

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

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

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

insights Insights

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

PLOS ONE

Guideline source: View

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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

i
Last updated on
08 Jun 2020
i
ISSN
1932-6203
i
Impact Factor
High - 2.806
i
Acceptance Rate
70%
i
Frequency
Upon Acceptance
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
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.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
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11,272 Citations
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. Arkin1, Adam P. Arkin2
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
10,010 Citations
open accessOpen access Journal Article DOI: 10.1371/JOURNAL.PONE.0112963
Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement
19 Nov 2014 - PLOS ONE

Abstract:

Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant calls. We introduce Pilon, a ... Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant calls. We introduce Pilon, a fully automated, all-in-one tool for correcting draft assemblies and calling sequence variants of multiple sizes, including very large insertions and deletions. Pilon works with many types of sequence data, but is particularly strong when supplied with paired end data from two Illumina libraries with small e.g., 180 bp and large e.g., 3-5 Kb inserts. Pilon significantly improves draft genome assemblies by correcting bases, fixing mis-assemblies and filling gaps. For both haploid and diploid genomes, Pilon produces more contiguous genomes with fewer errors, enabling identification of more biologically relevant genes. Furthermore, Pilon identifies small variants with high accuracy as compared to state-of-the-art tools and is unique in its ability to accurately identify large sequence variants including duplications and resolve large insertions. Pilon is being used to improve the assemblies of thousands of new genomes and to identify variants from thousands of clinically relevant bacterial strains. Pilon is freely available as open source software. read more read less

Topics:

Sequence assembly (53%)53% related to the paper, Bacterial genome size (52%)52% related to the paper, Genomics (50%)50% related to the paper
View PDF
5,659 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
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5,163 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
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4,919 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

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What to expect from SciSpace?

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With SciSpace, you do not need a word template for PLOS ONE.

It automatically formats your research paper to PLOS formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
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One editor, 100K journal formats – world's largest collection of journal templates

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Easy support from all your favorite tools

PLOS ONE format uses plos2015 citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write PLOS ONE in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the PLOS ONE guidelines and auto format it.

2. Do you follow the PLOS ONE guidelines?

Yes, the template is compliant with the PLOS ONE guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in PLOS ONE?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the PLOS ONE citation style.

4. Can I use the PLOS ONE templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for PLOS ONE.

5. Can I use a manuscript in PLOS ONE that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper PLOS ONE that you can download at the end.

6. How long does it usually take you to format my papers in PLOS ONE?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in PLOS ONE.

7. Where can I find the template for the PLOS ONE?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per PLOS ONE's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the PLOS ONE's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. PLOS ONE an online tool or is there a desktop version?

SciSpace's PLOS ONE is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like PLOS ONE?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like PLOS ONE?”

11. What is the output that I would get after using PLOS ONE?

After writing your paper autoformatting in PLOS ONE, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is PLOS ONE's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for PLOS ONE?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for PLOS ONE. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In PLOS ONE?

The 5 most common citation types in order of usage for PLOS ONE are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the PLOS ONE?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per PLOS ONE's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download PLOS ONE in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in PLOS ONE Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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