You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
OAE: The Ontology of Adverse Events
|
|---|---|
| Published in |
Journal of Biomedical Semantics, July 2014
|
| DOI | 10.1186/2041-1480-5-29 |
| Pubmed ID | |
| Authors |
Yongqun He, Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Abra Guo, Shelley Zhang, Desikan Jagannathan, Luca Toldo, Cui Tao, Barry Smith |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| France | 1 | <1% |
| Finland | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 109 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 24% |
| Student > Ph. D. Student | 24 | 21% |
| Student > Master | 11 | 9% |
| Professor > Associate Professor | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 25% |
| Medicine and Dentistry | 25 | 21% |
| Agricultural and Biological Sciences | 11 | 9% |
| Nursing and Health Professions | 6 | 5% |
| Business, Management and Accounting | 4 | 3% |
| Other | 18 | 15% |
| Unknown | 24 | 21% |
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 18 February 2020.
All research outputs
#7,219,424
of 25,837,817 outputs
Outputs from Journal of Biomedical Semantics
#115
of 368 outputs
Outputs of similar age
#63,669
of 243,942 outputs
Outputs of similar age from Journal of Biomedical Semantics
#7
of 14 outputs
Altmetric has tracked 25,837,817 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 4.7. 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 243,942 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 73% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.