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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-s3-s15 |
| Pubmed ID | |
| Authors |
Jesse Gillis, Paul Pavlidis |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 5% |
| Germany | 1 | 2% |
| Italy | 1 | 2% |
| Israel | 1 | 2% |
| Canada | 1 | 2% |
| Denmark | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 47 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 25% |
| Student > Master | 11 | 20% |
| Student > Ph. D. Student | 10 | 18% |
| Professor > Associate Professor | 4 | 7% |
| Professor | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 45% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Computer Science | 7 | 13% |
| Social Sciences | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 December 2020.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,737
of 7,793 outputs
Outputs of similar age
#61,181
of 212,930 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 122 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,793 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 63% 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 212,930 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 122 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 60% of its contemporaries.