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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Generalized Data Model for clinical research
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2019
|
| DOI | 10.1186/s12911-019-0837-5 |
| Pubmed ID | |
| Authors |
Mark D. Danese, Marc Halperin, Jennifer Duryea, Ryan Duryea |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 21% |
| Student > Master | 9 | 11% |
| Student > Ph. D. Student | 8 | 10% |
| Other | 8 | 10% |
| Professor | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 27 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 16% |
| Computer Science | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Engineering | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 13 | 16% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 January 2024.
All research outputs
#2,945,333
of 25,260,058 outputs
Outputs from BMC Medical Informatics and Decision Making
#204
of 2,137 outputs
Outputs of similar age
#58,036
of 358,136 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 43 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,137 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 90% 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 358,136 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 43 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 95% of its contemporaries.