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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions
|
|---|---|
| Published in |
BMC Research Notes, August 2011
|
| DOI | 10.1186/1756-0500-4-313 |
| Pubmed ID | |
| Authors |
Bernard de Bono, Robert Hoehndorf, Sarala Wimalaratne, George Gkoutos, Pierre Grenon |
| Abstract |
The practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 2 | 3% |
| Portugal | 1 | 1% |
| Sweden | 1 | 1% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 66 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Master | 15 | 20% |
| Student > Bachelor | 11 | 14% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Postgraduate | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 36% |
| Agricultural and Biological Sciences | 11 | 14% |
| Medicine and Dentistry | 8 | 11% |
| Engineering | 6 | 8% |
| Nursing and Health Professions | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 10 | 13% |
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 02 August 2022.
All research outputs
#6,789,893
of 23,917,011 outputs
Outputs from BMC Research Notes
#1,030
of 4,328 outputs
Outputs of similar age
#37,407
of 126,429 outputs
Outputs of similar age from BMC Research Notes
#20
of 59 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,328 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 75% 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 126,429 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 68% of its contemporaries.
We're also able to compare this research output to 59 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 64% of its contemporaries.