You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
How the gene ontology evolves
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-325 |
| Pubmed ID | |
| Authors |
Sabina Leonelli, Alexander D Diehl, Karen R Christie, Midori A Harris, Jane Lomax |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Colombia | 1 | 20% |
| Russia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| Spain | 2 | 3% |
| Mexico | 2 | 3% |
| Sweden | 1 | 1% |
| United Kingdom | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| Canada | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 63 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 32% |
| Student > Ph. D. Student | 22 | 28% |
| Student > Postgraduate | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 52% |
| Computer Science | 13 | 16% |
| Philosophy | 6 | 8% |
| Social Sciences | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 9 | 11% |
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 22 July 2019.
All research outputs
#4,779,165
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#1,688
of 7,506 outputs
Outputs of similar age
#22,946
of 122,763 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 83 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 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 122,763 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 83 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 71% of its contemporaries.