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Development and initial evaluation of a treatment decision dashboard

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
220 Mendeley
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Title
Development and initial evaluation of a treatment decision dashboard
Published in
BMC Medical Informatics and Decision Making, April 2013
DOI 10.1186/1472-6947-13-51
Pubmed ID
Authors

James G Dolan, Peter J Veazie, Ann J Russ

Abstract

For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decisions thus presents a significant barrier to informed decision making, a key element of patient-centered care.Interactive decision dashboards were developed to facilitate decision making in Management, a field marked by similarly complicated choices. These dashboards utilize data visualization techniques to reduce the cognitive effort needed to evaluate decision alternatives and a non-linear flow of information that enables users to review information in a self-directed fashion. Theoretically, both of these features should facilitate informed decision making by increasing user engagement with and understanding of the decision at hand. We sought to determine if the interactive decision dashboard format can be successfully adapted to create a clinically realistic prototype patient decision aid suitable for further evaluation and refinement.

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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Canada 2 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Unknown 212 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 27%
Student > Ph. D. Student 28 13%
Researcher 25 11%
Student > Doctoral Student 13 6%
Student > Bachelor 13 6%
Other 38 17%
Unknown 43 20%
Readers by discipline Count As %
Computer Science 42 19%
Medicine and Dentistry 37 17%
Nursing and Health Professions 18 8%
Business, Management and Accounting 13 6%
Psychology 10 5%
Other 47 21%
Unknown 53 24%
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 08 August 2013.
All research outputs
#6,391,543
of 22,707,247 outputs
Outputs from BMC Medical Informatics and Decision Making
#612
of 1,981 outputs
Outputs of similar age
#53,982
of 197,149 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 35 outputs
Altmetric has tracked 22,707,247 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 1,981 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 197,149 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 71% of its contemporaries.
We're also able to compare this research output to 35 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 60% of its contemporaries.