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A cluster randomised controlled trial evaluating the effectiveness of eHealth-supported patient recruitment in primary care research: the TRANSFoRm study protocol

Overview of attention for article published in Implementation Science, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
108 Mendeley
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Title
A cluster randomised controlled trial evaluating the effectiveness of eHealth-supported patient recruitment in primary care research: the TRANSFoRm study protocol
Published in
Implementation Science, February 2015
DOI 10.1186/s13012-015-0207-3
Pubmed ID
Authors

Nikolaos Mastellos, Anna Andreasson, Kit Huckvale, Mark Larsen, Vasa Curcin, Josip Car, Lars Agreus, Brendan Delaney

Abstract

Opportunistic recruitment is a highly laborious and time-consuming process that is currently performed manually, increasing the workload of already busy practitioners and resulting in many studies failing to achieve their recruitment targets. The Translational Medicine and Patient Safety in Europe (TRANSFoRm) platform enables automated recruitment, data collection and follow-up of patients, potentially improving the efficiency, time and costs of clinical research. This study aims to assess the effectiveness of TRANSFoRm in improving patient recruitment and follow-up in primary care trials.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Belgium 1 <1%
Unknown 104 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Master 12 11%
Student > Bachelor 11 10%
Student > Ph. D. Student 8 7%
Student > Doctoral Student 7 6%
Other 26 24%
Unknown 19 18%
Readers by discipline Count As %
Medicine and Dentistry 28 26%
Nursing and Health Professions 11 10%
Social Sciences 10 9%
Computer Science 6 6%
Psychology 6 6%
Other 20 19%
Unknown 27 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 March 2015.
All research outputs
#1,995,709
of 12,786,466 outputs
Outputs from Implementation Science
#583
of 1,335 outputs
Outputs of similar age
#45,788
of 274,862 outputs
Outputs of similar age from Implementation Science
#1
of 4 outputs
Altmetric has tracked 12,786,466 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 56% 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 274,862 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 83% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them