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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multiple kernel learning algorithm for drug-target interaction prediction
|
|---|---|
| Published in |
BMC Bioinformatics, January 2016
|
| DOI | 10.1186/s12859-016-0890-3 |
| Pubmed ID | |
| Authors |
André C. A. Nascimento, Ricardo B. C. Prudêncio, Ivan G. Costa |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
| Canada | 1 | 11% |
| Japan | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bulgaria | 1 | <1% |
| New Caledonia | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 188 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 23% |
| Student > Master | 31 | 16% |
| Researcher | 22 | 11% |
| Student > Bachelor | 10 | 5% |
| Professor > Associate Professor | 9 | 5% |
| Other | 31 | 16% |
| Unknown | 46 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 28% |
| Agricultural and Biological Sciences | 16 | 8% |
| Biochemistry, Genetics and Molecular Biology | 15 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 6% |
| Medicine and Dentistry | 8 | 4% |
| Other | 32 | 17% |
| Unknown | 57 | 30% |
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 02 April 2016.
All research outputs
#4,653,686
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,736
of 7,387 outputs
Outputs of similar age
#81,494
of 397,704 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 141 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 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 76% 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 397,704 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 79% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.