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Self-determination theory: its application to health behavior and complementarity with motivational interviewing

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, January 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
30 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
222 Dimensions

Readers on

mendeley
640 Mendeley
citeulike
1 CiteULike
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Title
Self-determination theory: its application to health behavior and complementarity with motivational interviewing
Published in
International Journal of Behavioral Nutrition and Physical Activity, January 2012
DOI 10.1186/1479-5868-9-18
Pubmed ID
Authors

Heather Patrick, Geoffrey C Williams

Abstract

Mounting evidence implicates health behaviors (e.g., nutrition, physical activity, tobacco abstinence) in various health outcomes. As the science of behavior change has emerged, increasing emphasis has been placed on the use of theory in developing and testing interventions. Self-determination theory (SDT)-a theoretical perspective-and motivational interviewing (MI)-a set of clinical techniques-have both been used in health behavior intervention contexts. Although developed for somewhat different purposes and in relatively different domains, there is a good deal of conceptual overlap between SDT and MI. Accordingly, SDT may offer the theoretical backing that historically has been missing from MI, and MI may offer SDT some specific direction with respect to particular clinical techniques that have not been fully borne out within the confines of health related applications of SDT. Research is needed to empirically test the overlap and distinctions between SDT and MI and to determine the extent to which these two perspectives can be combined or co-exist as somewhat distinct approaches.

Twitter Demographics

The data shown below were collected from the profiles of 30 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 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
New Zealand 2 <1%
Norway 2 <1%
Netherlands 2 <1%
Australia 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Other 3 <1%
Unknown 618 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 143 22%
Student > Bachelor 100 16%
Student > Ph. D. Student 87 14%
Researcher 67 10%
Student > Doctoral Student 54 8%
Other 111 17%
Unknown 78 12%
Readers by discipline Count As %
Psychology 133 21%
Medicine and Dentistry 99 15%
Nursing and Health Professions 92 14%
Social Sciences 72 11%
Sports and Recreations 46 7%
Other 92 14%
Unknown 106 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 18 July 2020.
All research outputs
#620,743
of 17,859,820 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#248
of 1,680 outputs
Outputs of similar age
#3,418
of 133,655 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#1
of 31 outputs
Altmetric has tracked 17,859,820 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has done well, scoring higher than 85% 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 133,655 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 31 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 99% of its contemporaries.