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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 3,810)
  • 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
2 news outlets
blogs
9 blogs
twitter
631 tweeters
facebook
5 Facebook pages
googleplus
4 Google+ users
reddit
1 Redditor
video
1 video uploader

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
231 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 631 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 231 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 209 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 26%
Student > Ph. D. Student 48 21%
Student > Master 35 15%
Student > Bachelor 16 7%
Librarian 13 6%
Other 44 19%
Unknown 15 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 24%
Biochemistry, Genetics and Molecular Biology 30 13%
Computer Science 21 9%
Medicine and Dentistry 17 7%
Psychology 17 7%
Other 63 27%
Unknown 28 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 455. 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 18 October 2021.
All research outputs
#36,848
of 19,198,440 outputs
Outputs from Genome Biology (Online Edition)
#11
of 3,810 outputs
Outputs of similar age
#734
of 385,912 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 292 outputs
Altmetric has tracked 19,198,440 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 3,810 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 385,912 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.