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Mendeley readers
Attention Score in Context
| Title |
The ontology of medically related social entities: recent developments
|
|---|---|
| Published in |
Journal of Biomedical Semantics, July 2016
|
| DOI | 10.1186/s13326-016-0087-8 |
| Pubmed ID | |
| Authors |
Amanda Hicks, Josh Hanna, Daniel Welch, Mathias Brochhausen, William R. Hogan |
| Abstract |
The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Ontology and conforms to Open Biomedical Ontologies Foundry's best practices. We report recent development of OMRSE which includes representations of organizations, roles, facilities, demographic data, enrollment in insurance plans, and data about socio-economic indicators. OMRSE's coverage has been expanding in recent years to include a wide variety of classes and has been useful in several biomedical applications. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Other | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Librarian | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 14% |
| Computer Science | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Business, Management and Accounting | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 February 2020.
All research outputs
#6,979,459
of 22,880,691 outputs
Outputs from Journal of Biomedical Semantics
#131
of 364 outputs
Outputs of similar age
#115,740
of 354,435 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 18 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 364 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 61% 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 354,435 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 66% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.