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A qualitative evaluation of general practitioners’ views on protocol-driven eReferral in Scotland

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2014
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Mentioned by

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3 X users

Citations

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26 Dimensions

Readers on

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113 Mendeley
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Title
A qualitative evaluation of general practitioners’ views on protocol-driven eReferral in Scotland
Published in
BMC Medical Informatics and Decision Making, April 2014
DOI 10.1186/1472-6947-14-30
Pubmed ID
Authors

Matt-Mouley Bouamrane, Frances S Mair

Abstract

The ever increasing volume of referrals from primary care to specialist services is putting considerable pressure on resource-constrained health services while effective communication across fragmented services remains a substantial challenge. Previous studies have suggested that electronic referrals (eReferral) can bear important benefits for cross-organisational processes and patient care management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Australia 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 20%
Researcher 14 12%
Student > Ph. D. Student 12 11%
Student > Bachelor 12 11%
Other 7 6%
Other 20 18%
Unknown 25 22%
Readers by discipline Count As %
Medicine and Dentistry 35 31%
Nursing and Health Professions 13 12%
Social Sciences 9 8%
Computer Science 9 8%
Business, Management and Accounting 6 5%
Other 11 10%
Unknown 30 27%
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 12 April 2014.
All research outputs
#14,194,875
of 22,753,345 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,985 outputs
Outputs of similar age
#121,081
of 228,038 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 28 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 228,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.