| Title |
The clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systems
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2014
|
| DOI | 10.1186/1472-6947-14-43 |
| Pubmed ID | |
| Authors |
Morgan Price, Francis Lau |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 17% |
| India | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 1% |
| Turkey | 1 | <1% |
| Unknown | 134 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 18% |
| Researcher | 23 | 17% |
| Student > Master | 23 | 17% |
| Student > Doctoral Student | 10 | 7% |
| Student > Bachelor | 10 | 7% |
| Other | 23 | 17% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 25% |
| Medicine and Dentistry | 22 | 16% |
| Business, Management and Accounting | 16 | 12% |
| Nursing and Health Professions | 14 | 10% |
| Social Sciences | 10 | 7% |
| Other | 13 | 9% |
| Unknown | 28 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 January 2024.
All research outputs
#5,369,637
of 26,017,215 outputs
Outputs from BMC Medical Informatics and Decision Making
#460
of 2,162 outputs
Outputs of similar age
#48,523
of 244,363 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 78% 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 244,363 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 79% of its contemporaries.
We're also able to compare this research output to 23 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 73% of its contemporaries.