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Mendeley readers
Attention Score in Context
| Title |
Building a biomedical ontology recommender web service
|
|---|---|
| Published in |
Journal of Biomedical Semantics, June 2010
|
| DOI | 10.1186/2041-1480-1-s1-s1 |
| Pubmed ID | |
| Authors |
Clement Jonquet, Mark A Musen, Nigam H Shah |
| Abstract |
Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 8% |
| France | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | <1% |
| Denmark | 1 | <1% |
| Germany | 1 | <1% |
| Nigeria | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 89 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 23% |
| Student > Ph. D. Student | 21 | 20% |
| Student > Master | 13 | 12% |
| Professor > Associate Professor | 7 | 7% |
| Professor | 6 | 6% |
| Other | 22 | 21% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 41% |
| Agricultural and Biological Sciences | 18 | 17% |
| Medicine and Dentistry | 12 | 11% |
| Engineering | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 14 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 February 2012.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#240
of 368 outputs
Outputs of similar age
#85,651
of 104,445 outputs
Outputs of similar age from Journal of Biomedical Semantics
#5
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 104,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.