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Integration of a nationally procured electronic health record system into user work practices

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2012
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Citations

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73 Dimensions

Readers on

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214 Mendeley
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1 CiteULike
Title
Integration of a nationally procured electronic health record system into user work practices
Published in
BMC Medical Informatics and Decision Making, March 2012
DOI 10.1186/1472-6947-12-15
Pubmed ID
Authors

Kathrin M Cresswell, Allison Worth, Aziz Sheikh

Abstract

Evidence suggests that many small- and medium-scale Electronic Health Record (EHR) implementations encounter problems, these often stemming from users' difficulties in accommodating the new technology into their work practices. There is the possibility that these challenges may be exacerbated in the context of the larger-scale, more standardised, implementation strategies now being pursued as part of major national modernisation initiatives. We sought to understand how England's centrally procured and delivered EHR software was integrated within the work practices of users in selected secondary and specialist care settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Ireland 1 <1%
Italy 1 <1%
South Africa 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 208 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 24%
Researcher 27 13%
Student > Ph. D. Student 25 12%
Student > Postgraduate 17 8%
Student > Doctoral Student 17 8%
Other 40 19%
Unknown 36 17%
Readers by discipline Count As %
Medicine and Dentistry 59 28%
Computer Science 34 16%
Nursing and Health Professions 19 9%
Social Sciences 18 8%
Business, Management and Accounting 12 6%
Other 30 14%
Unknown 42 20%
Attention Score in Context

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 27 February 2014.
All research outputs
#13,864,183
of 22,663,969 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,065
of 1,978 outputs
Outputs of similar age
#91,197
of 156,269 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 29 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 156,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.