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Incorporating functional inter-relationships into protein function prediction algorithms

Overview of attention for article published in BMC Bioinformatics, May 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
5 CiteULike
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Title
Incorporating functional inter-relationships into protein function prediction algorithms
Published in
BMC Bioinformatics, May 2009
DOI 10.1186/1471-2105-10-142
Pubmed ID
Authors

Gaurav Pandey, Chad L Myers, Vipin Kumar

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 10%
India 2 3%
Israel 1 2%
Brazil 1 2%
Italy 1 2%
Chile 1 2%
China 1 2%
Spain 1 2%
Portugal 1 2%
Other 0 0%
Unknown 43 74%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 15 26%
Student > Master 9 16%
Professor 3 5%
Student > Postgraduate 3 5%
Other 11 19%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 43%
Computer Science 21 36%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 2 3%
Earth and Planetary Sciences 1 2%
Other 3 5%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2014.
All research outputs
#3,956,933
of 7,646,798 outputs
Outputs from BMC Bioinformatics
#2,347
of 3,421 outputs
Outputs of similar age
#54,606
of 103,629 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 29 outputs
Altmetric has tracked 7,646,798 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,421 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 103,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.