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Meta-ethnography 25 years on: challenges and insights for synthesising a large number of qualitative studies

Overview of attention for article published in BMC Medical Research Methodology, June 2014
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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15 X users

Citations

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225 Dimensions

Readers on

mendeley
280 Mendeley
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2 CiteULike
Title
Meta-ethnography 25 years on: challenges and insights for synthesising a large number of qualitative studies
Published in
BMC Medical Research Methodology, June 2014
DOI 10.1186/1471-2288-14-80
Pubmed ID
Authors

Francine Toye, Kate Seers, Nick Allcock, Michelle Briggs, Eloise Carr, Karen Barker

Abstract

Studies that systematically search for and synthesise qualitative research are becoming more evident in health care, and they can make an important contribution to patient care. Our team was funded to complete a meta-ethnography of patients' experience of chronic musculoskeletal pain. It has been 25 years since Noblit and Hare published their core text on meta-ethnography, and the current health research environment brings additional challenges to researchers aiming to synthesise qualitative research. Noblit and Hare propose seven stages of meta-ethnography which take the researcher from formulating a research idea to expressing the findings. These stages are not discrete but form part of an iterative research process. We aimed to build on the methods of Noblit and Hare and explore the challenges of including a large number of qualitative studies into a qualitative systematic review. These challenges hinge upon epistemological and practical issues to be considered alongside expectations about what determines high quality research. This paper describes our method and explores these challenges. Central to our method was the process of collaborative interpretation of concepts and the decision to exclude original material where we could not decipher a concept. We use excerpts from our research team's reflexive statements to illustrate the development of our methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
Germany 1 <1%
France 1 <1%
Sweden 1 <1%
New Zealand 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 270 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 20%
Student > Ph. D. Student 48 17%
Researcher 36 13%
Student > Doctoral Student 23 8%
Student > Bachelor 17 6%
Other 41 15%
Unknown 59 21%
Readers by discipline Count As %
Social Sciences 45 16%
Medicine and Dentistry 41 15%
Nursing and Health Professions 36 13%
Psychology 33 12%
Business, Management and Accounting 11 4%
Other 42 15%
Unknown 72 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 July 2021.
All research outputs
#3,349,691
of 24,272,486 outputs
Outputs from BMC Medical Research Methodology
#518
of 2,155 outputs
Outputs of similar age
#32,869
of 232,835 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 31 outputs
Altmetric has tracked 24,272,486 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 232,835 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 85% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.