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Mendeley readers
Attention Score in Context
| Title |
Large-scale prediction of protein-protein interactions from structures
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-144 |
| Pubmed ID | |
| Authors |
Martial Hue, Michael Riffle, Jean-Philippe Vert, William S Noble |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Australia | 2 | 2% |
| Canada | 2 | 2% |
| Japan | 2 | 2% |
| India | 2 | 2% |
| Belgium | 2 | 2% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 106 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 24% |
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 19 | 15% |
| Professor > Associate Professor | 11 | 9% |
| Professor | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 42% |
| Computer Science | 25 | 20% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Engineering | 7 | 6% |
| Mathematics | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 14 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 October 2013.
All research outputs
#5,702,967
of 22,986,950 outputs
Outputs from BMC Bioinformatics
#2,096
of 7,309 outputs
Outputs of similar age
#30,892
of 106,882 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 63 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,309 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 71% 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 106,882 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 71% of its contemporaries.
We're also able to compare this research output to 63 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 74% of its contemporaries.