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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Facilitating the design of HL7 domain models through a model-driven solution
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2020
|
| DOI | 10.1186/s12911-020-1093-4 |
| Pubmed ID | |
| Authors |
M. A. Olivero, F. J. Domínguez-Mayo, C. L. Parra-Calderón, M. J. Escalona, A. Martínez-García |
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% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 12% |
| Lecturer | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 18% |
| Engineering | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 May 2020.
All research outputs
#13,992,033
of 23,211,181 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,064
of 2,019 outputs
Outputs of similar age
#206,325
of 393,242 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 49 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,019 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 393,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 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 53% of its contemporaries.