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Discriminant content validity of a theoretical domains framework questionnaire for use in implementation research

Overview of attention for article published in Implementation Science, January 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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
20 X users

Citations

dimensions_citation
216 Dimensions

Readers on

mendeley
406 Mendeley
citeulike
1 CiteULike
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Title
Discriminant content validity of a theoretical domains framework questionnaire for use in implementation research
Published in
Implementation Science, January 2014
DOI 10.1186/1748-5908-9-11
Pubmed ID
Authors

Johanna M Huijg, Winifred A Gebhardt, Mathilde R Crone, Elise Dusseldorp, Justin Presseau

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Canada 3 <1%
Australia 1 <1%
Bangladesh 1 <1%
Argentina 1 <1%
Unknown 397 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 19%
Student > Master 73 18%
Researcher 72 18%
Student > Bachelor 28 7%
Student > Doctoral Student 26 6%
Other 51 13%
Unknown 77 19%
Readers by discipline Count As %
Medicine and Dentistry 82 20%
Psychology 62 15%
Nursing and Health Professions 54 13%
Social Sciences 35 9%
Sports and Recreations 10 2%
Other 59 15%
Unknown 104 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 16 January 2024.
All research outputs
#2,673,533
of 26,017,215 outputs
Outputs from Implementation Science
#540
of 1,822 outputs
Outputs of similar age
#31,421
of 343,509 outputs
Outputs of similar age from Implementation Science
#12
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 70% 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 343,509 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 90% of its contemporaries.
We're also able to compare this research output to 36 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 66% of its contemporaries.