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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
152 Mendeley
citeulike
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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 152 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 146 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 27%
Researcher 23 15%
Student > Ph. D. Student 21 14%
Student > Postgraduate 13 9%
Student > Doctoral Student 12 8%
Other 32 21%
Unknown 10 7%
Readers by discipline Count As %
Medicine and Dentistry 48 32%
Computer Science 33 22%
Social Sciences 17 11%
Nursing and Health Professions 10 7%
Business, Management and Accounting 9 6%
Other 21 14%
Unknown 14 9%

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
#7,003,045
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#629
of 1,122 outputs
Outputs of similar age
#55,571
of 116,413 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 5 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 41st percentile – i.e., 41% 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 116,413 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 51% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.