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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HomPPI: a class of sequence homology based protein-protein interface prediction methods
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-244 |
| Pubmed ID | |
| Authors |
Li C Xue, Drena Dobbs, Vasant Honavar |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| France | 1 | 1% |
| South Africa | 1 | 1% |
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 75 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 25% |
| Student > Master | 16 | 20% |
| Researcher | 12 | 15% |
| Student > Bachelor | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 16 | 20% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 32% |
| Biochemistry, Genetics and Molecular Biology | 20 | 25% |
| Computer Science | 12 | 15% |
| Engineering | 3 | 4% |
| Mathematics | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 July 2016.
All research outputs
#6,583,824
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#2,524
of 7,378 outputs
Outputs of similar age
#35,872
of 115,351 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 99 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,378 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 64% 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 115,351 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 66% of its contemporaries.
We're also able to compare this research output to 99 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 62% of its contemporaries.