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Mendeley readers
Attention Score in Context
| Title |
DECK: Distance and environment-dependent, coarse-grained, knowledge-based potentials for protein-protein docking
|
|---|---|
| Published in |
BMC Bioinformatics, July 2011
|
| DOI | 10.1186/1471-2105-12-280 |
| Pubmed ID | |
| Authors |
Shiyong Liu, Ilya A Vakser |
| Abstract |
Computational approaches to protein-protein docking typically include scoring aimed at improving the rank of the near-native structure relative to the false-positive matches. Knowledge-based potentials improve modeling of protein complexes by taking advantage of the rapidly increasing amount of experimentally derived information on protein-protein association. An essential element of knowledge-based potentials is defining the reference state for an optimal description of the residue-residue (or atom-atom) pairs in the non-interaction state. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Australia | 1 | 2% |
| South Africa | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 49 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 33% |
| Researcher | 13 | 24% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 4 | 7% |
| Student > Postgraduate | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 41% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Computer Science | 6 | 11% |
| Medicine and Dentistry | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 10 | 19% |
| Unknown | 4 | 7% |
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 29 September 2011.
All research outputs
#20,147,309
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#6,810
of 7,236 outputs
Outputs of similar age
#107,643
of 116,502 outputs
Outputs of similar age from BMC Bioinformatics
#87
of 91 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 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 1st percentile – i.e., 1% 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 116,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.