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The Use and Functionality of Electronic Prescribing Systems in English Acute NHS Trusts: A Cross-Sectional Survey

Overview of attention for article published in PLOS ONE, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
3 news outlets
twitter
7 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
98 Mendeley
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Title
The Use and Functionality of Electronic Prescribing Systems in English Acute NHS Trusts: A Cross-Sectional Survey
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0080378
Pubmed ID
Authors

Zamzam Ahmed, Monsey Chan McLeod, Nick Barber, Ann Jacklin, Bryony Dean Franklin

Abstract

To describe current use of electronic prescribing (EP) in English acute NHS hospital trusts, and the use of multiple EP systems within the same hospital.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Ireland 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 18 18%
Student > Postgraduate 10 10%
Student > Bachelor 7 7%
Other 5 5%
Other 15 15%
Unknown 25 26%
Readers by discipline Count As %
Medicine and Dentistry 25 26%
Nursing and Health Professions 13 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 11%
Computer Science 7 7%
Social Sciences 5 5%
Other 10 10%
Unknown 27 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 25 November 2013.
All research outputs
#1,110,023
of 22,731,677 outputs
Outputs from PLOS ONE
#14,871
of 194,033 outputs
Outputs of similar age
#13,066
of 302,010 outputs
Outputs of similar age from PLOS ONE
#433
of 5,172 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 92% 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 302,010 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 95% of its contemporaries.
We're also able to compare this research output to 5,172 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 91% of its contemporaries.