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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ontological analysis of SNOMED CT
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2008
|
| DOI | 10.1186/1472-6947-8-s1-s8 |
| Pubmed ID | |
| Authors |
Gergely Héja, György Surján, Péter Varga |
| Abstract |
SNOMED CT is the most comprehensive medical terminology. However, its use for intelligent services based on formal reasoning is questionable. |
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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 6% |
| Germany | 2 | 3% |
| Belgium | 2 | 3% |
| Austria | 1 | 2% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Turkey | 1 | 2% |
| Canada | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 49 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Researcher | 10 | 16% |
| Student > Postgraduate | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 15 | 24% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 59% |
| Medicine and Dentistry | 10 | 16% |
| Agricultural and Biological Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 5 | 8% |
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 21 January 2014.
All research outputs
#15,290,667
of 22,739,983 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,308
of 1,985 outputs
Outputs of similar age
#77,710
of 91,689 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 15 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 91,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.