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Mendeley readers
Attention Score in Context
| Title |
Automating document classification for the Immune Epitope Database
|
|---|---|
| Published in |
BMC Bioinformatics, July 2007
|
| DOI | 10.1186/1471-2105-8-269 |
| Pubmed ID | |
| Authors |
Peng Wang, Alexander A Morgan, Qing Zhang, Alessandro Sette, Bjoern Peters |
| Abstract |
The Immune Epitope Database contains information on immune epitopes curated manually from the scientific literature. Like similar projects in other knowledge domains, significant effort is spent on identifying which articles are relevant for this purpose. |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Germany | 1 | 2% |
| India | 1 | 2% |
| Australia | 1 | 2% |
| Denmark | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 45 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 11 | 21% |
| Student > Master | 8 | 15% |
| Professor | 6 | 11% |
| Student > Bachelor | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 28% |
| Agricultural and Biological Sciences | 8 | 15% |
| Medicine and Dentistry | 4 | 8% |
| Engineering | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 14 | 26% |
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 23 November 2012.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#24,342
of 67,105 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 45 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 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 50% 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 67,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.