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Measurement of a model of implementation for health care: toward a testable theory

Overview of attention for article published in Implementation Science, July 2012
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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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
11 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
155 Mendeley
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Title
Measurement of a model of implementation for health care: toward a testable theory
Published in
Implementation Science, July 2012
DOI 10.1186/1748-5908-7-59
Pubmed ID
Authors

Joan M Cook, Casey O’Donnell, Stephanie Dinnen, James C Coyne, Josef I Ruzek, Paula P Schnurr

Abstract

Greenhalgh et al. used a considerable evidence-base to develop a comprehensive model of implementation of innovations in healthcare organizations [1]. However, these authors did not fully operationalize their model, making it difficult to test formally. The present paper represents a first step in operationalizing Greenhalgh et al.'s model by providing background, rationale, working definitions, and measurement of key constructs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 3 2%
Uganda 1 <1%
France 1 <1%
Norway 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 144 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 18%
Student > Ph. D. Student 24 15%
Researcher 22 14%
Student > Doctoral Student 19 12%
Other 10 6%
Other 35 23%
Unknown 17 11%
Readers by discipline Count As %
Medicine and Dentistry 34 22%
Social Sciences 27 17%
Psychology 20 13%
Nursing and Health Professions 13 8%
Business, Management and Accounting 11 7%
Other 31 20%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 April 2013.
All research outputs
#4,497,387
of 24,144,324 outputs
Outputs from Implementation Science
#857
of 1,754 outputs
Outputs of similar age
#29,624
of 166,941 outputs
Outputs of similar age from Implementation Science
#13
of 29 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 50% 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 166,941 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 82% of its contemporaries.
We're also able to compare this research output to 29 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 58% of its contemporaries.