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Getting Started in Gene Orthology and Functional Analysis

Overview of attention for article published in PLoS Computational Biology, March 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

wikipedia
5 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
528 Mendeley
citeulike
31 CiteULike
connotea
3 Connotea
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Title
Getting Started in Gene Orthology and Functional Analysis
Published in
PLoS Computational Biology, March 2010
DOI 10.1371/journal.pcbi.1000703
Pubmed ID
Authors

Gang Fang, Nitin Bhardwaj, Rebecca Robilotto, Mark B. Gerstein

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 528 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
United Kingdom 12 2%
Brazil 10 2%
Canada 4 <1%
Mexico 4 <1%
Netherlands 3 <1%
France 3 <1%
Germany 3 <1%
Australia 3 <1%
Other 21 4%
Unknown 452 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 27%
Researcher 107 20%
Student > Master 58 11%
Student > Bachelor 48 9%
Student > Postgraduate 25 5%
Other 78 15%
Unknown 68 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 268 51%
Biochemistry, Genetics and Molecular Biology 101 19%
Computer Science 27 5%
Engineering 11 2%
Medicine and Dentistry 6 1%
Other 40 8%
Unknown 75 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 June 2019.
All research outputs
#6,374,015
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#4,353
of 8,960 outputs
Outputs of similar age
#30,044
of 103,419 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 56 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 50% 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 103,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.