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Ten Simple (Empirical) Rules for Writing Science

Overview of attention for article published in PLoS Computational Biology, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 9,026)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
blogs
12 blogs
twitter
518 X users
peer_reviews
1 peer review site
facebook
27 Facebook pages
googleplus
17 Google+ users
reddit
3 Redditors
q&a
2 Q&A threads

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
720 Mendeley
citeulike
14 CiteULike
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Title
Ten Simple (Empirical) Rules for Writing Science
Published in
PLoS Computational Biology, April 2015
DOI 10.1371/journal.pcbi.1004205
Pubmed ID
Authors

Cody J. Weinberger, James A. Evans, Stefano Allesina

X Demographics

X Demographics

The data shown below were collected from the profiles of 518 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 720 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 3%
Brazil 9 1%
United Kingdom 8 1%
Spain 5 <1%
Netherlands 3 <1%
Portugal 3 <1%
Argentina 3 <1%
Korea, Republic of 2 <1%
Australia 2 <1%
Other 26 4%
Unknown 638 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 25%
Researcher 150 21%
Student > Master 75 10%
Student > Bachelor 46 6%
Professor > Associate Professor 44 6%
Other 155 22%
Unknown 73 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 223 31%
Biochemistry, Genetics and Molecular Biology 57 8%
Environmental Science 49 7%
Psychology 40 6%
Medicine and Dentistry 36 5%
Other 205 28%
Unknown 110 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 451. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 August 2023.
All research outputs
#62,562
of 25,728,855 outputs
Outputs from PLoS Computational Biology
#40
of 9,026 outputs
Outputs of similar age
#587
of 279,294 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 177 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,294 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.