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How Not to Be a Bioinformatician

Overview of attention for article published in Source Code for Biology and Medicine, May 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 126)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
1 news outlet
blogs
6 blogs
twitter
315 tweeters
facebook
23 Facebook pages
googleplus
15 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
341 Mendeley
citeulike
29 CiteULike
Title
How Not to Be a Bioinformatician
Published in
Source Code for Biology and Medicine, May 2012
DOI 10.1186/1751-0473-7-3
Pubmed ID
Authors

Manuel Corpas, Segun Fatumo, Reinhard Schneider

Abstract

Although published material exists about the skills required for a successful bioinformatics career, strangely enough no work to date has addressed the matter of how to excel at not being a bioinformatician. A set of basic guidelines and a code of conduct is hereby presented to re-address that imbalance for fellow-practitioners whose aim is to not to succeed in their chosen bioinformatics field. By scrupulously following these guidelines one can be sure to regress at a highly satisfactory rate.

Twitter Demographics

The data shown below were collected from the profiles of 315 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 341 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 6%
United Kingdom 9 3%
Spain 8 2%
Germany 5 1%
Brazil 5 1%
France 4 1%
India 3 <1%
New Zealand 3 <1%
Japan 3 <1%
Other 23 7%
Unknown 257 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 115 34%
Student > Ph. D. Student 73 21%
Student > Master 41 12%
Other 26 8%
Student > Postgraduate 21 6%
Other 63 18%
Unknown 2 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 210 62%
Computer Science 34 10%
Biochemistry, Genetics and Molecular Biology 33 10%
Medicine and Dentistry 14 4%
Engineering 8 2%
Other 33 10%
Unknown 9 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 269. 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 07 October 2019.
All research outputs
#52,491
of 14,549,400 outputs
Outputs from Source Code for Biology and Medicine
#1
of 126 outputs
Outputs of similar age
#280
of 123,346 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 2 outputs
Altmetric has tracked 14,549,400 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 126 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 123,346 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them