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Mendeley readers
Attention Score in Context
| Title |
GOPET: A tool for automated predictions of Gene Ontology terms
|
|---|---|
| Published in |
BMC Bioinformatics, March 2006
|
| DOI | 10.1186/1471-2105-7-161 |
| Pubmed ID | |
| Authors |
Arunachalam Vinayagam, Coral del Val, Falk Schubert, Roland Eils, Karl-Heinz Glatting, Sándor Suhai, Rainer König |
| Abstract |
Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for their predictions. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United States | 2 | 3% |
| France | 1 | 2% |
| Spain | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 59 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Researcher | 16 | 24% |
| Professor > Associate Professor | 8 | 12% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 50% |
| Computer Science | 20 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Engineering | 2 | 3% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 February 2012.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#23,422
of 66,753 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 56 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 66,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.