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Improving the prediction of disease-related variants using protein three-dimensional structure

Overview of attention for article published in BMC Bioinformatics, July 2011
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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

patent
1 patent

Citations

dimensions_citation
126 Dimensions

Readers on

mendeley
138 Mendeley
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Title
Improving the prediction of disease-related variants using protein three-dimensional structure
Published in
BMC Bioinformatics, July 2011
DOI 10.1186/1471-2105-12-s4-s3
Pubmed ID
Authors

Emidio Capriotti, Russ B Altman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Germany 3 2%
United Kingdom 2 1%
Spain 2 1%
Japan 1 <1%
Brazil 1 <1%
Unknown 124 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 23%
Researcher 18 13%
Student > Bachelor 16 12%
Student > Master 15 11%
Student > Postgraduate 7 5%
Other 21 15%
Unknown 29 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 30%
Biochemistry, Genetics and Molecular Biology 37 27%
Medicine and Dentistry 7 5%
Computer Science 3 2%
Immunology and Microbiology 3 2%
Other 14 10%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 November 2014.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#41,970
of 116,920 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 98 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 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 50% 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 116,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.