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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GO2PUB: Querying PubMed with semantic expansion of gene ontology terms
|
|---|---|
| Published in |
Journal of Biomedical Semantics, September 2012
|
| DOI | 10.1186/2041-1480-3-7 |
| Pubmed ID | |
| Authors |
Charles Bettembourg, Christian Diot, Anita Burgun, Olivier Dameron |
| Abstract |
With the development of high throughput methods of gene analyses, there is a growing need for mining tools to retrieve relevant articles in PubMed. As PubMed grows, literature searches become more complex and time-consuming. Automated search tools with good precision and recall are necessary. We developed GO2PUB to automatically enrich PubMed queries with gene names, symbols and synonyms annotated by a GO term of interest or one of its descendants. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 4 | 50% |
| United States | 1 | 13% |
| Norway | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 34% |
| Professor > Associate Professor | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 44% |
| Computer Science | 11 | 34% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Social Sciences | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 September 2012.
All research outputs
#7,148,903
of 25,374,647 outputs
Outputs from Journal of Biomedical Semantics
#119
of 368 outputs
Outputs of similar age
#51,970
of 187,121 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 13 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 67% 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 187,121 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 72% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.