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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 (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
117 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

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 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 110 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 29 25%
Student > Master 14 12%
Student > Bachelor 9 8%
Other 6 5%
Other 13 11%
Unknown 15 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 29%
Biochemistry, Genetics and Molecular Biology 23 20%
Computer Science 17 15%
Chemistry 10 9%
Mathematics 3 3%
Other 11 9%
Unknown 19 16%
Attention Score in Context

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
#7,015,001
of 22,965,074 outputs
Outputs from BMC Bioinformatics
#2,696
of 7,306 outputs
Outputs of similar age
#47,351
of 160,224 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 65 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 160,224 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 68% of its contemporaries.
We're also able to compare this research output to 65 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 64% of its contemporaries.