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Computational biologists: moving to the driver's seat

Overview of attention for article published in Genome Biology, November 2017
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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 (#37 of 4,510)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
440 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
144 Mendeley
citeulike
1 CiteULike
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Title
Computational biologists: moving to the driver's seat
Published in
Genome Biology, November 2017
DOI 10.1186/s13059-017-1357-1
Pubmed ID
Authors

Itai Yanai, Eva Chmielnicki

Abstract

The recent shift of computational biologists from bioinformatics service providers to leaders of cutting-edge programs highlights the accompanying cultural and conceptual changes that should be implemented by funding bodies and academic institutions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 440 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 30%
Student > Ph. D. Student 29 20%
Student > Bachelor 14 10%
Student > Master 14 10%
Professor 8 6%
Other 19 13%
Unknown 17 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 33%
Biochemistry, Genetics and Molecular Biology 34 24%
Computer Science 14 10%
Immunology and Microbiology 7 5%
Chemistry 6 4%
Other 15 10%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 259. 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 23 May 2022.
All research outputs
#143,558
of 25,744,802 outputs
Outputs from Genome Biology
#37
of 4,510 outputs
Outputs of similar age
#3,099
of 448,274 outputs
Outputs of similar age from Genome Biology
#1
of 55 outputs
Altmetric has tracked 25,744,802 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 4,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. 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 448,274 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 55 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 98% of its contemporaries.