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Mendeley readers
Attention Score in Context
| Title |
ElliPro: a new structure-based tool for the prediction of antibody epitopes
|
|---|---|
| Published in |
BMC Bioinformatics, December 2008
|
| DOI | 10.1186/1471-2105-9-514 |
| Pubmed ID | |
| Authors |
Julia Ponomarenko, Huynh-Hoa Bui, Wei Li, Nicholas Fusseder, Philip E Bourne, Alessandro Sette, Bjoern Peters |
Mendeley readers
The data shown below were compiled from readership statistics for 764 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | <1% |
| United States | 3 | <1% |
| Germany | 2 | <1% |
| Japan | 2 | <1% |
| Brazil | 2 | <1% |
| India | 2 | <1% |
| Chile | 1 | <1% |
| Colombia | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 743 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 121 | 16% |
| Researcher | 97 | 13% |
| Student > Bachelor | 83 | 11% |
| Student > Master | 73 | 10% |
| Student > Postgraduate | 35 | 5% |
| Other | 139 | 18% |
| Unknown | 216 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 161 | 21% |
| Agricultural and Biological Sciences | 142 | 19% |
| Immunology and Microbiology | 54 | 7% |
| Medicine and Dentistry | 25 | 3% |
| Computer Science | 23 | 3% |
| Other | 114 | 15% |
| Unknown | 245 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 15 June 2023.
All research outputs
#4,461,115
of 23,867,274 outputs
Outputs from BMC Bioinformatics
#1,669
of 7,478 outputs
Outputs of similar age
#23,438
of 171,246 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 46 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,478 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 171,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.