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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare
|
|---|---|
| Published in |
Journal of Biomedical Informatics, November 2022
|
| DOI | 10.1016/j.jbi.2022.104251 |
| Pubmed ID | |
| Authors |
Robert Lario, Kensaku Kawamoto, Davide Sottara, Karen Eilbeck, Stanley Huff, Guilherme Del Fiol, Richard Soley, Blackford Middleton |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 50% |
| Italy | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Lecturer | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 18 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 24% |
| Nursing and Health Professions | 2 | 5% |
| Social Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Psychology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 16 December 2022.
All research outputs
#468,762
of 25,392,582 outputs
Outputs from Journal of Biomedical Informatics
#10
of 2,247 outputs
Outputs of similar age
#11,051
of 429,356 outputs
Outputs of similar age from Journal of Biomedical Informatics
#1
of 35 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 429,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.