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Mendeley readers
Attention Score in Context
| Title |
Annotating the human genome with Disease Ontology
|
|---|---|
| Published in |
BMC Genomics, July 2009
|
| DOI | 10.1186/1471-2164-10-s1-s6 |
| Pubmed ID | |
| Authors |
John D Osborne, Jared Flatow, Michelle Holko, Simon M Lin, Warren A Kibbe, Lihua (Julie) Zhu, Maria I Danila, Gang Feng, Rex L Chisholm |
| Abstract |
The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally computationally annotated for diseases. |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 7% |
| United Kingdom | 5 | 3% |
| Spain | 4 | 2% |
| France | 2 | 1% |
| Brazil | 2 | 1% |
| Italy | 2 | 1% |
| Portugal | 2 | 1% |
| Hong Kong | 1 | <1% |
| Iceland | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 160 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 23% |
| Researcher | 37 | 19% |
| Student > Master | 31 | 16% |
| Student > Bachelor | 15 | 8% |
| Other | 12 | 6% |
| Other | 40 | 20% |
| Unknown | 18 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 30% |
| Computer Science | 54 | 27% |
| Biochemistry, Genetics and Molecular Biology | 19 | 10% |
| Medicine and Dentistry | 13 | 7% |
| Engineering | 7 | 4% |
| Other | 22 | 11% |
| Unknown | 24 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 April 2018.
All research outputs
#3,690,199
of 22,664,267 outputs
Outputs from BMC Genomics
#1,478
of 10,614 outputs
Outputs of similar age
#15,886
of 109,684 outputs
Outputs of similar age from BMC Genomics
#11
of 29 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 109,684 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 85% of its contemporaries.
We're also able to compare this research output to 29 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 62% of its contemporaries.