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Mendeley readers
Attention Score in Context
| Title |
Algorithm of OMA for large-scale orthology inference
|
|---|---|
| Published in |
BMC Bioinformatics, December 2008
|
| DOI | 10.1186/1471-2105-9-518 |
| Pubmed ID | |
| Authors |
Alexander CJ Roth, Gaston H Gonnet, Christophe Dessimoz |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 4 | 2% |
| Germany | 2 | 1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 173 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 28% |
| Researcher | 41 | 21% |
| Student > Master | 29 | 15% |
| Student > Bachelor | 19 | 10% |
| Professor | 11 | 6% |
| Other | 26 | 13% |
| Unknown | 15 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 49% |
| Biochemistry, Genetics and Molecular Biology | 47 | 24% |
| Computer Science | 18 | 9% |
| Engineering | 3 | 2% |
| Mathematics | 2 | 1% |
| Other | 6 | 3% |
| Unknown | 23 | 12% |
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 07 September 2023.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,990
of 7,763 outputs
Outputs of similar age
#28,998
of 182,976 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 48 outputs
Altmetric has tracked 25,837,817 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 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 182,976 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 78% of its contemporaries.
We're also able to compare this research output to 48 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 66% of its contemporaries.