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Predicting protein-protein interface residues using local surface structural similarity

Overview of attention for article published in BMC Bioinformatics, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
114 Mendeley
citeulike
5 CiteULike
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Title
Predicting protein-protein interface residues using local surface structural similarity
Published in
BMC Bioinformatics, March 2012
DOI 10.1186/1471-2105-13-41
Pubmed ID
Authors

Rafael A Jordan, Yasser EL-Manzalawy, Drena Dobbs, Vasant Honavar

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
India 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 107 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 27 24%
Student > Master 15 13%
Student > Bachelor 9 8%
Other 6 5%
Other 15 13%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 30%
Biochemistry, Genetics and Molecular Biology 24 21%
Computer Science 17 15%
Chemistry 7 6%
Mathematics 3 3%
Other 14 12%
Unknown 15 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2019.
All research outputs
#4,753,196
of 16,065,915 outputs
Outputs from BMC Bioinformatics
#2,052
of 5,819 outputs
Outputs of similar age
#92,327
of 268,799 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 12 outputs
Altmetric has tracked 16,065,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,819 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 63% 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 268,799 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 65% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.