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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risks to patient safety associated with implementation of electronic applications for medication management in ambulatory care - a systematic review
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2013
|
| DOI | 10.1186/1472-6947-13-133 |
| Pubmed ID | |
| Authors |
Cheryl LL Carling, Ingvild Kirkehei, Therese Kristine Dalsbø, Elizabeth Paulsen |
| Abstract |
The objective was to find evidence to substantiate assertions that electronic applications for medication management in ambulatory care (electronic prescribing, clinical decision support (CDSS), electronic health record, and computer generated paper prescriptions), while intended to reduce prescribing errors, can themselves result in errors that might harm patients or increase risks to patient safety. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 15% |
| Colombia | 2 | 10% |
| United States | 2 | 10% |
| Argentina | 1 | 5% |
| Norway | 1 | 5% |
| United Kingdom | 1 | 5% |
| India | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Practitioners (doctors, other healthcare professionals) | 6 | 30% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 136 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 21% |
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 18 | 13% |
| Student > Postgraduate | 12 | 9% |
| Student > Bachelor | 7 | 5% |
| Other | 24 | 17% |
| Unknown | 28 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 32% |
| Nursing and Health Professions | 15 | 11% |
| Computer Science | 10 | 7% |
| Social Sciences | 9 | 6% |
| Psychology | 6 | 4% |
| Other | 22 | 16% |
| Unknown | 33 | 24% |
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 22 July 2016.
All research outputs
#2,880,656
of 24,205,409 outputs
Outputs from BMC Medical Informatics and Decision Making
#209
of 2,066 outputs
Outputs of similar age
#33,139
of 316,565 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 44 outputs
Altmetric has tracked 24,205,409 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 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 316,565 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 89% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.