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X Demographics
Mendeley readers
Attention Score in Context
| Title |
KVFinder: steered identification of protein cavities as a PyMOL plugin
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-197 |
| Pubmed ID | |
| Authors |
Saulo HP Oliveira, Felipe AN Ferraz, Rodrigo V Honorato, José Xavier-Neto, Tiago JP Sobreira, Paulo SL de Oliveira |
| Abstract |
The characterization of protein binding sites is a major challenge in computational biology. Proteins interact with a wide variety of molecules and understanding of such complex interactions is essential to gain deeper knowledge of protein function. Shape complementarity is known to be important in determining protein-ligand interactions. Furthermore, these protein structural features have been shown to be useful in assisting medicinal chemists during lead discovery and optimization. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Pakistan | 1 | <1% |
| Unknown | 126 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 27 | 21% |
| Student > Bachelor | 17 | 13% |
| Researcher | 16 | 12% |
| Student > Doctoral Student | 6 | 5% |
| Other | 16 | 12% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 26% |
| Biochemistry, Genetics and Molecular Biology | 21 | 16% |
| Chemistry | 16 | 12% |
| Computer Science | 12 | 9% |
| Engineering | 8 | 6% |
| Other | 8 | 6% |
| Unknown | 31 | 24% |
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 17 June 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from BMC Bioinformatics
#6,844
of 7,272 outputs
Outputs of similar age
#192,527
of 228,185 outputs
Outputs of similar age from BMC Bioinformatics
#143
of 154 outputs
Altmetric has tracked 22,757,090 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 7,272 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 228,185 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 154 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.