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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing amino acid substitution matrices with a local alignment kernel
|
|---|---|
| Published in |
BMC Bioinformatics, May 2006
|
| DOI | 10.1186/1471-2105-7-246 |
| Pubmed ID | |
| Authors |
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Chile | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
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 | 4 | 8% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| Israel | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 45 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 9 | 17% |
| Professor > Associate Professor | 8 | 15% |
| Other | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Other | 9 | 17% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 36% |
| Computer Science | 17 | 32% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Mathematics | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 October 2021.
All research outputs
#14,625,574
of 23,411,993 outputs
Outputs from BMC Bioinformatics
#4,785
of 7,381 outputs
Outputs of similar age
#57,911
of 66,780 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 47 outputs
Altmetric has tracked 23,411,993 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,381 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 30th percentile – i.e., 30% 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 66,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.