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Mixed methods for telehealth research

Overview of attention for article published in Journal of Telemedicine and Telecare, September 2016
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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8 X users

Citations

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36 Dimensions

Readers on

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119 Mendeley
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Title
Mixed methods for telehealth research
Published in
Journal of Telemedicine and Telecare, September 2016
DOI 10.1177/1357633x16665684
Pubmed ID
Authors

Liam J Caffery, Melinda Martin-Khan, Victoria Wade

Abstract

Mixed methods research is important to health services research because the integrated qualitative and quantitative investigation can give a more comprehensive understanding of complex interventions such as telehealth than can a single-method study. Further, mixed methods research is applicable to translational research and program evaluation. Study designs relevant to telehealth research are described and supported by examples. Quality assessment tools, frameworks to assist in the reporting and review of mixed methods research, and related methodologies are also discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Researcher 16 13%
Student > Master 12 10%
Student > Doctoral Student 11 9%
Other 7 6%
Other 19 16%
Unknown 37 31%
Readers by discipline Count As %
Medicine and Dentistry 31 26%
Nursing and Health Professions 15 13%
Business, Management and Accounting 5 4%
Social Sciences 5 4%
Economics, Econometrics and Finance 4 3%
Other 22 18%
Unknown 37 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2022.
All research outputs
#5,923,958
of 23,749,054 outputs
Outputs from Journal of Telemedicine and Telecare
#316
of 1,266 outputs
Outputs of similar age
#90,014
of 339,586 outputs
Outputs of similar age from Journal of Telemedicine and Telecare
#10
of 26 outputs
Altmetric has tracked 23,749,054 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 75% 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 339,586 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 73% of its contemporaries.
We're also able to compare this research output to 26 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 65% of its contemporaries.