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How the gene ontology evolves

Overview of attention for article published in BMC Bioinformatics, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
17 CiteULike
connotea
1 Connotea
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Title
How the gene ontology evolves
Published in
BMC Bioinformatics, August 2011
DOI 10.1186/1471-2105-12-325
Pubmed ID
Authors

Sabina Leonelli, Alexander D Diehl, Karen R Christie, Midori A Harris, Jane Lomax

Abstract

Maintaining a bio-ontology in the long term requires improving and updating its contents so that it adequately captures what is known about biological phenomena. This paper illustrates how these processes are carried out, by studying the ways in which curators at the Gene Ontology have hitherto incorporated new knowledge into their resource.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
Spain 2 3%
Mexico 2 3%
Germany 2 3%
United Kingdom 1 1%
Malaysia 1 1%
India 1 1%
Russia 1 1%
Korea, Republic of 1 1%
Other 2 3%
Unknown 50 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 35%
Student > Ph. D. Student 20 29%
Student > Postgraduate 5 7%
Student > Bachelor 3 4%
Student > Doctoral Student 3 4%
Other 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 60%
Computer Science 10 15%
Social Sciences 5 7%
Philosophy 4 6%
Unspecified 4 6%
Other 4 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 September 2014.
All research outputs
#3,059,823
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,361
of 4,576 outputs
Outputs of similar age
#23,188
of 85,928 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 26 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 70% 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 85,928 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 72% of its contemporaries.
We're also able to compare this research output to 26 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 50% of its contemporaries.