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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis
|
|---|---|
| Published in |
Systematic Reviews, June 2014
|
| DOI | 10.1186/2046-4053-3-56 |
| Pubmed ID | |
| Authors |
Teryl K Nuckols, Crystal Smith-Spangler, Sally C Morton, Steven M Asch, Vaspaan M Patel, Laura J Anderson, Emily L Deichsel, Paul G Shekelle |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 7 | 20% |
| Spain | 7 | 20% |
| United Kingdom | 2 | 6% |
| Argentina | 2 | 6% |
| Uruguay | 1 | 3% |
| Portugal | 1 | 3% |
| Austria | 1 | 3% |
| Ecuador | 1 | 3% |
| Finland | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 60% |
| Practitioners (doctors, other healthcare professionals) | 9 | 26% |
| Scientists | 5 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Canada | 2 | <1% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 401 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 80 | 19% |
| Researcher | 46 | 11% |
| Student > Ph. D. Student | 43 | 10% |
| Student > Bachelor | 40 | 10% |
| Student > Doctoral Student | 30 | 7% |
| Other | 85 | 21% |
| Unknown | 88 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 112 | 27% |
| Nursing and Health Professions | 57 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 39 | 9% |
| Computer Science | 30 | 7% |
| Social Sciences | 12 | 3% |
| Other | 55 | 13% |
| Unknown | 107 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 16 October 2023.
All research outputs
#731,936
of 25,822,778 outputs
Outputs from Systematic Reviews
#88
of 2,258 outputs
Outputs of similar age
#6,624
of 243,102 outputs
Outputs of similar age from Systematic Reviews
#2
of 27 outputs
Altmetric has tracked 25,822,778 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 96% 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 243,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.