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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Physicians' Perceptions on the usefulness of contextual information for prioritizing and presenting alerts in computerized physician order entry systems
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2012
|
| DOI | 10.1186/1472-6947-12-111 |
| Pubmed ID | |
| Authors |
Martin Jung, Daniel Riedmann, Werner O Hackl, Alexander Hoerbst, Monique W Jaspers, Laurie Ferret, Kitta Lawton, Elske Ammenwerth |
| Abstract |
One possible approach towards avoiding alert overload and alert fatigue in Computerized Physician Order Entry (CPOE) systems is to tailor their drug safety alerts to the context of the clinical situation. Our objective was to identify the perceptions of physicians on the usefulness of clinical context information for prioritizing and presenting drug safety alerts. |
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 % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Austria | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 50 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Student > Postgraduate | 7 | 13% |
| Student > Master | 7 | 13% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 41% |
| Computer Science | 15 | 27% |
| Nursing and Health Professions | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 21% |
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 17 March 2014.
All research outputs
#13,368,181
of 22,679,690 outputs
Outputs from BMC Medical Informatics and Decision Making
#979
of 1,979 outputs
Outputs of similar age
#93,356
of 172,325 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 43 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 47th percentile – i.e., 47% 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 172,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
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 is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.