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X Demographics
Mendeley readers
Attention Score in Context
Title |
On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop
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Published in |
BMC Medical Informatics and Decision Making, October 2013
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DOI | 10.1186/1472-6947-13-111 |
Pubmed ID | |
Authors |
Jamie J Coleman, Heleen van der Sijs, Walter E Haefeli, Sarah P Slight, Sarah E McDowell, Hanna M Seidling, Birgit Eiermann, Jos Aarts, Elske Ammenwerth, Robin E Ferner, Ann Slee |
Abstract |
Clinical decision support (CDS) for electronic prescribing systems (computerized physician order entry) should help prescribers in the safe and rational use of medicines. However, the best ways to alert users to unsafe or irrational prescribing are uncertain. Specifically, CDS systems may generate too many alerts, producing unwelcome distractions for prescribers, or too few alerts running the risk of overlooking possible harms. Obtaining the right balance of alerting to adequately improve patient safety should be a priority. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Argentina | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 2% |
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
Korea, Republic of | 1 | <1% |
Argentina | 1 | <1% |
United States | 1 | <1% |
Unknown | 116 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 25 | 20% |
Student > Ph. D. Student | 19 | 15% |
Researcher | 15 | 12% |
Student > Postgraduate | 12 | 10% |
Other | 5 | 4% |
Other | 27 | 22% |
Unknown | 22 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 40 | 32% |
Computer Science | 17 | 14% |
Nursing and Health Professions | 8 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 6% |
Social Sciences | 5 | 4% |
Other | 18 | 14% |
Unknown | 29 | 23% |
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 07 October 2013.
All research outputs
#13,392,902
of 22,725,280 outputs
Outputs from BMC Medical Informatics and Decision Making
#981
of 1,982 outputs
Outputs of similar age
#109,060
of 207,105 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 35 outputs
Altmetric has tracked 22,725,280 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 1,982 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 207,105 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.