↓ Skip to main content

GO Trimming: Systematically reducing redundancy in large Gene Ontology datasets

Overview of attention for article published in BMC Research Notes, July 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
GO Trimming: Systematically reducing redundancy in large Gene Ontology datasets
Published in
BMC Research Notes, July 2011
DOI 10.1186/1756-0500-4-267
Pubmed ID
Authors

Stuart G Jantzen, Ben JG Sutherland, David R Minkley, Ben F Koop

Twitter Demographics

The data shown below were collected from the profiles of 2 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 3 3%
India 1 <1%
Brazil 1 <1%
Finland 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Other 3 3%
Unknown 90 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 31%
Researcher 27 25%
Student > Master 15 14%
Professor > Associate Professor 6 6%
Student > Postgraduate 5 5%
Other 14 13%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 55%
Biochemistry, Genetics and Molecular Biology 13 12%
Computer Science 7 7%
Engineering 4 4%
Medicine and Dentistry 4 4%
Other 10 9%
Unknown 10 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 April 2015.
All research outputs
#7,423,253
of 12,440,051 outputs
Outputs from BMC Research Notes
#1,262
of 2,780 outputs
Outputs of similar age
#109,536
of 224,181 outputs
Outputs of similar age from BMC Research Notes
#36
of 61 outputs
Altmetric has tracked 12,440,051 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,780 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 53% 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 224,181 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 50% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.