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Mendeley readers
Attention Score in Context
Title |
Protein structure modelling and evaluation based on a 4-distance description of side-chain interactions
|
---|---|
Published in |
BMC Bioinformatics, July 2010
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DOI | 10.1186/1471-2105-11-374 |
Pubmed ID | |
Authors |
Vladimir Potapov, Mati Cohen, Yuval Inbar, Gideon Schreiber |
Abstract |
Accurate evaluation and modelling of residue-residue interactions within and between proteins is a key aspect of computational structure prediction including homology modelling, protein-protein docking, refinement of low-resolution structures, and computational protein design. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 5% |
Germany | 2 | 5% |
Italy | 1 | 2% |
Australia | 1 | 2% |
Unknown | 37 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 42% |
Researcher | 15 | 35% |
Student > Postgraduate | 3 | 7% |
Student > Bachelor | 3 | 7% |
Lecturer > Senior Lecturer | 1 | 2% |
Other | 2 | 5% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 44% |
Computer Science | 8 | 19% |
Biochemistry, Genetics and Molecular Biology | 7 | 16% |
Chemistry | 3 | 7% |
Medicine and Dentistry | 1 | 2% |
Other | 0 | 0% |
Unknown | 5 | 12% |
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 08 November 2010.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from BMC Bioinformatics
#5,353
of 7,241 outputs
Outputs of similar age
#76,541
of 94,737 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 62 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 94,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.