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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HuPSON: the human physiology simulation ontology
|
|---|---|
| Published in |
Journal of Biomedical Semantics, November 2013
|
| DOI | 10.1186/2041-1480-4-35 |
| Pubmed ID | |
| Authors |
Michaela Gündel, Erfan Younesi, Ashutosh Malhotra, Jiali Wang, Hui Li, Bijun Zhang, Bernard de Bono, Heinz-Theodor Mevissen, Martin Hofmann-Apitius |
| Abstract |
Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. |
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 % |
|---|---|---|
| Unknown | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| United Kingdom | 1 | 3% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Luxembourg | 1 | 3% |
| Unknown | 23 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 5 | 17% |
| Professor > Associate Professor | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 31% |
| Agricultural and Biological Sciences | 6 | 21% |
| Engineering | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 5 | 17% |
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 30 November 2013.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#240
of 368 outputs
Outputs of similar age
#201,167
of 315,290 outputs
Outputs of similar age from Journal of Biomedical Semantics
#14
of 20 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 315,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.