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Five selfish reasons to work reproducibly

Overview of attention for article published in Genome Biology (Online Edition), December 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 (#11 of 3,854)
  • 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
3 news outlets
blogs
9 blogs
twitter
628 tweeters
facebook
5 Facebook pages
googleplus
4 Google+ users
reddit
1 Redditor
video
1 video uploader

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
235 Mendeley
citeulike
12 CiteULike
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Title
Five selfish reasons to work reproducibly
Published in
Genome Biology (Online Edition), December 2015
DOI 10.1186/s13059-015-0850-7
Pubmed ID
Authors

Florian Markowetz

Abstract

And so, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you! Here, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, career-oriented scientist.

Twitter Demographics

The data shown below were collected from the profiles of 628 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 8 3%
United States 3 1%
Germany 2 <1%
Chile 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
India 1 <1%
Switzerland 1 <1%
Belgium 1 <1%
Other 3 1%
Unknown 213 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 26%
Student > Ph. D. Student 48 20%
Student > Master 36 15%
Student > Bachelor 17 7%
Librarian 14 6%
Other 44 19%
Unknown 16 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 23%
Biochemistry, Genetics and Molecular Biology 31 13%
Computer Science 21 9%
Medicine and Dentistry 17 7%
Psychology 17 7%
Other 65 28%
Unknown 29 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 462. 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 08 December 2021.
All research outputs
#36,931
of 19,606,303 outputs
Outputs from Genome Biology (Online Edition)
#11
of 3,854 outputs
Outputs of similar age
#713
of 389,073 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 292 outputs
Altmetric has tracked 19,606,303 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 3,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. 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 389,073 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 292 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.