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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 (#14 of 1,690)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

twitter
214 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
56 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

Twitter Demographics

The data shown below were collected from the profiles of 214 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 10 18%
Unspecified 7 13%
Lecturer 3 5%
Student > Doctoral Student 2 4%
Other 8 14%
Unknown 13 23%
Readers by discipline Count As %
Social Sciences 11 20%
Nursing and Health Professions 8 14%
Medicine and Dentistry 6 11%
Unspecified 6 11%
Psychology 2 4%
Other 9 16%
Unknown 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 135. 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 06 July 2022.
All research outputs
#236,422
of 21,796,013 outputs
Outputs from Implementation Science
#14
of 1,690 outputs
Outputs of similar age
#6,661
of 337,149 outputs
Outputs of similar age from Implementation Science
#1
of 1 outputs
Altmetric has tracked 21,796,013 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 1,690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 337,149 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 98% of its contemporaries.
We're also able to compare this research output to 1 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