↓ Skip to main content

The challenges of implementing a telestroke network: a systematic review and case study

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
117 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The challenges of implementing a telestroke network: a systematic review and case study
Published in
BMC Medical Informatics and Decision Making, November 2013
DOI 10.1186/1472-6947-13-125
Pubmed ID
Authors

Beverley French, Elaine Day, Caroline Watkins, Alison McLoughlin, Jane Fitzgerald, Michael Leathley, Paul Davies, Hedley Emsley, Gary Ford, Damian Jenkinson, Carl May, Mark O’Donnell, Christopher Price, Christopher Sutton, Catherine Lightbody

Abstract

The use of telemedicine in acute stroke care can facilitate rapid access to treatment, but the work required to embed any new technology into routine practice is often hidden, and can be challenging. We aimed to collate recommendations and resources to support telestroke implementation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Russia 1 <1%
Ireland 1 <1%
Argentina 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Student > Ph. D. Student 13 11%
Student > Bachelor 11 9%
Researcher 10 9%
Other 8 7%
Other 28 24%
Unknown 29 25%
Readers by discipline Count As %
Medicine and Dentistry 19 16%
Nursing and Health Professions 12 10%
Social Sciences 9 8%
Business, Management and Accounting 6 5%
Psychology 6 5%
Other 25 21%
Unknown 40 34%
Attention Score in Context

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 25 July 2016.
All research outputs
#4,537,235
of 22,731,677 outputs
Outputs from BMC Medical Informatics and Decision Making
#406
of 1,985 outputs
Outputs of similar age
#42,598
of 212,302 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 48 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 79% 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 212,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.