↓ Skip to main content

Toward Reproducible Computational Research: An Empirical Analysis of Data and Code Policy Adoption by Journals

Overview of attention for article published in PLOS ONE, June 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
77 X users
facebook
2 Facebook pages

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
207 Mendeley
citeulike
8 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Toward Reproducible Computational Research: An Empirical Analysis of Data and Code Policy Adoption by Journals
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0067111
Pubmed ID
Authors

Victoria Stodden, Peixuan Guo, Zhaokun Ma

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Netherlands 3 1%
United Kingdom 3 1%
Switzerland 1 <1%
Sweden 1 <1%
Australia 1 <1%
Hong Kong 1 <1%
Spain 1 <1%
Nigeria 1 <1%
Other 2 <1%
Unknown 186 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 19%
Researcher 39 19%
Student > Master 29 14%
Librarian 22 11%
Other 14 7%
Other 44 21%
Unknown 19 9%
Readers by discipline Count As %
Computer Science 46 22%
Social Sciences 26 13%
Agricultural and Biological Sciences 21 10%
Engineering 12 6%
Environmental Science 10 5%
Other 66 32%
Unknown 26 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 30 August 2021.
All research outputs
#545,423
of 24,978,429 outputs
Outputs from PLOS ONE
#7,523
of 216,436 outputs
Outputs of similar age
#3,818
of 202,324 outputs
Outputs of similar age from PLOS ONE
#197
of 4,713 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216,436 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 96% 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 202,324 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 98% of its contemporaries.
We're also able to compare this research output to 4,713 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 95% of its contemporaries.