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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2013
|
| DOI | 10.1186/1472-6947-13-67 |
| Pubmed ID | |
| Authors |
Steven R Simon, Carol A Keohane, Mary Amato, Michael Coffey, Bismarck Cadet, Eyal Zimlichman, David W Bates |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | <1% |
| Malawi | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 173 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 26% |
| Student > Ph. D. Student | 28 | 16% |
| Student > Doctoral Student | 16 | 9% |
| Researcher | 15 | 8% |
| Student > Bachelor | 10 | 6% |
| Other | 33 | 18% |
| Unknown | 32 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 27% |
| Nursing and Health Professions | 31 | 17% |
| Computer Science | 18 | 10% |
| Social Sciences | 16 | 9% |
| Business, Management and Accounting | 9 | 5% |
| Other | 24 | 13% |
| Unknown | 34 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 August 2013.
All research outputs
#15,277,879
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,047
of 2,159 outputs
Outputs of similar age
#113,791
of 210,388 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 210,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.