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Translational framework for implementation evaluation and research: a normalisation process theory coding manual for qualitative research and instrument development

Overview of attention for article published in Implementation Science, February 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 1,821)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
211 X users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
148 Mendeley
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Title
Translational framework for implementation evaluation and research: a normalisation process theory coding manual for qualitative research and instrument development
Published in
Implementation Science, February 2022
DOI 10.1186/s13012-022-01191-x
Pubmed ID
Authors

Carl R. May, Bianca Albers, Mike Bracher, Tracy L. Finch, Anthony Gilbert, Melissa Girling, Kathryn Greenwood, Anne MacFarlane, Frances S. Mair, Christine M. May, Elizabeth Murray, Sebastian Potthoff, Tim Rapley

X Demographics

X Demographics

The data shown below were collected from the profiles of 211 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 23 16%
Student > Master 9 6%
Student > Doctoral Student 9 6%
Lecturer 8 5%
Other 17 11%
Unknown 54 36%
Readers by discipline Count As %
Social Sciences 20 14%
Medicine and Dentistry 18 12%
Nursing and Health Professions 15 10%
Psychology 7 5%
Business, Management and Accounting 6 4%
Other 24 16%
Unknown 58 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 13 February 2024.
All research outputs
#323,672
of 25,758,211 outputs
Outputs from Implementation Science
#16
of 1,821 outputs
Outputs of similar age
#9,494
of 453,911 outputs
Outputs of similar age from Implementation Science
#1
of 21 outputs
Altmetric has tracked 25,758,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 99% 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 453,911 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.