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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Special issue on bio-ontologies and phenotypes
|
|---|---|
| Published in |
Journal of Biomedical Semantics, December 2015
|
| DOI | 10.1186/s13326-015-0040-2 |
| Pubmed ID | |
| Authors |
Larisa N. Soldatova, Nigel Collier, Anika Oellrich, Tudor Groza, Karin Verspoor, Philippe Rocca-Serra, Michel Dumontier, Nigam H. Shah |
| Abstract |
The bio-ontologies and phenotypes special issue includes eight papers selected from the 11 papers presented at the Bio-Ontologies SIG (Special Interest Group) and the Phenotype Day at ISMB (Intelligent Systems for Molecular Biology) conference in Boston in 2014. The selected papers span a wide range of topics including the automated re-use and update of ontologies, quality assessment of ontological resources, and the systematic description of phenotype variation, driven by manual, semi- and fully automatic means. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 15 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Ph. D. Student | 4 | 24% |
| Professor | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Student > Master | 2 | 12% |
| Other | 2 | 12% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 41% |
| Agricultural and Biological Sciences | 4 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 2 | 12% |
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 18 December 2015.
All research outputs
#18,836,331
of 23,344,526 outputs
Outputs from Journal of Biomedical Semantics
#302
of 367 outputs
Outputs of similar age
#264,807
of 365,426 outputs
Outputs of similar age from Journal of Biomedical Semantics
#9
of 9 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% 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 365,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.