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Measuring the quality of Patients’ goals and action plans: development and validation of a novel tool

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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7 X users

Citations

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27 Dimensions

Readers on

mendeley
81 Mendeley
Title
Measuring the quality of Patients’ goals and action plans: development and validation of a novel tool
Published in
BMC Medical Informatics and Decision Making, December 2012
DOI 10.1186/1472-6947-12-152
Pubmed ID
Authors

Cayla R Teal, Paul Haidet, Ajay S Balasubramanyam, Elisa Rodriguez, Aanand D Naik

Abstract

The purpose of this study is to develop and test reliability, validity, and utility of the Goal-Setting Evaluation Tool for Diabetes (GET-D). The effectiveness of diabetes self-management is predicated on goal-setting and action planning strategies. Evaluation of self-management interventions is hampered by the absence of tools to assess quality of goals and action plans. To address this gap, we developed the GET-D, a criteria-based, observer rating scale that measures the quality of patients' diabetes goals and action plans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Bachelor 10 12%
Researcher 9 11%
Student > Master 8 10%
Student > Doctoral Student 6 7%
Other 16 20%
Unknown 18 22%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Nursing and Health Professions 11 14%
Social Sciences 6 7%
Psychology 6 7%
Business, Management and Accounting 4 5%
Other 12 15%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 August 2013.
All research outputs
#6,700,826
of 22,691,736 outputs
Outputs from BMC Medical Informatics and Decision Making
#638
of 1,980 outputs
Outputs of similar age
#73,046
of 280,466 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 46 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 280,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 46 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 54% of its contemporaries.