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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2022
|
| DOI | 10.1186/s12911-022-01828-3 |
| Pubmed ID | |
| Authors |
Clare L. Tolley, Neil W. Watson, Andrew Heed, Jochen Einbeck, Suzanne Medows, Linda Wood, Layla Campbell, Sarah P. Slight |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 50% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Unspecified | 2 | 9% |
| Student > Master | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Nursing and Health Professions | 2 | 9% |
| Social Sciences | 2 | 9% |
| Computer Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 April 2022.
All research outputs
#5,565,963
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#500
of 2,162 outputs
Outputs of similar age
#118,700
of 449,355 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 56 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% 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 449,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.