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“Entrenched practices and other biases”: unpacking the historical, economic, professional, and social resistance to de-implementation

Overview of attention for article published in Implementation Science, February 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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35 X users
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1 Google+ user
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1 research highlight platform

Citations

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110 Dimensions

Readers on

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107 Mendeley
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Title
“Entrenched practices and other biases”: unpacking the historical, economic, professional, and social resistance to de-implementation
Published in
Implementation Science, February 2015
DOI 10.1186/s13012-015-0211-7
Pubmed ID
Authors

Theresa Montini, Ian D Graham

Abstract

In their article on "Evidence-based de-implementation for contradicted, unproven, and aspiring healthcare practices," Prasad and Ioannidis (IS 9:1, 2014) referred to extra-scientific "entrenched practices and other biases" that hinder evidence-based de-implementation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Netherlands 1 <1%
Unknown 103 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 16%
Student > Ph. D. Student 16 15%
Student > Master 16 15%
Student > Postgraduate 7 7%
Student > Bachelor 7 7%
Other 24 22%
Unknown 20 19%
Readers by discipline Count As %
Medicine and Dentistry 26 24%
Nursing and Health Professions 18 17%
Psychology 12 11%
Social Sciences 8 7%
Business, Management and Accounting 4 4%
Other 14 13%
Unknown 25 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 26 May 2022.
All research outputs
#1,701,934
of 25,732,188 outputs
Outputs from Implementation Science
#307
of 1,820 outputs
Outputs of similar age
#23,757
of 370,167 outputs
Outputs of similar age from Implementation Science
#8
of 44 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,820 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 83% 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 370,167 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 93% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.