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Ten Simple Rules for Reproducible Computational Research

Overview of attention for article published in PLoS Computational Biology, October 2013
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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 (#24 of 9,062)
  • 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)

Citations

dimensions_citation
546 Dimensions

Readers on

mendeley
1789 Mendeley
citeulike
52 CiteULike
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Title
Ten Simple Rules for Reproducible Computational Research
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003285
Pubmed ID
Authors

Geir Kjetil Sandve, Anton Nekrutenko, James Taylor, Eivind Hovig

X Demographics

X Demographics

The data shown below were collected from the profiles of 725 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 1,789 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 63 4%
Germany 14 <1%
Brazil 14 <1%
United Kingdom 13 <1%
Spain 11 <1%
France 10 <1%
Canada 7 <1%
Denmark 6 <1%
Sweden 5 <1%
Other 52 3%
Unknown 1594 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 478 27%
Researcher 418 23%
Student > Master 194 11%
Student > Bachelor 114 6%
Student > Doctoral Student 85 5%
Other 308 17%
Unknown 192 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 491 27%
Computer Science 209 12%
Biochemistry, Genetics and Molecular Biology 206 12%
Engineering 100 6%
Environmental Science 76 4%
Other 444 25%
Unknown 263 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 688. 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 29 February 2024.
All research outputs
#31,204
of 25,866,425 outputs
Outputs from PLoS Computational Biology
#24
of 9,062 outputs
Outputs of similar age
#155
of 225,566 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 143 outputs
Altmetric has tracked 25,866,425 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 9,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 225,566 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 143 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.