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Mendeley readers
Attention Score in Context
| Title |
A protein domain interaction interface database: InterPare
|
|---|---|
| Published in |
BMC Bioinformatics, August 2005
|
| DOI | 10.1186/1471-2105-6-207 |
| Pubmed ID | |
| Authors |
Sungsam Gong, Changbum Park, Hansol Choi, Junsu Ko, Insoo Jang, Jungsul Lee, Dan M Bolser, Donghoon Oh, Deok-Soo Kim, Jong Bhak |
| Abstract |
Most proteins function by interacting with other molecules. Their interaction interfaces are highly conserved throughout evolution to avoid undesirable interactions that lead to fatal disorders in cells. Rational drug discovery includes computational methods to identify the interaction sites of lead compounds to the target molecules. Identifying and classifying protein interaction interfaces on a large scale can help researchers discover drug targets more efficiently. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 8% |
| United Kingdom | 2 | 3% |
| Hungary | 1 | 2% |
| Australia | 1 | 2% |
| China | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 52 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 31% |
| Student > Ph. D. Student | 19 | 29% |
| Student > Bachelor | 6 | 9% |
| Professor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 57% |
| Computer Science | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Chemistry | 2 | 3% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 2 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 November 2010.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,234 outputs
Outputs of similar age
#49,917
of 58,128 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 25 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 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 45th percentile – i.e., 45% 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 58,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.