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What is needed to implement a computer-assisted health risk assessment tool? An exploratory concept mapping study

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

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
132 Mendeley
citeulike
1 CiteULike
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Title
What is needed to implement a computer-assisted health risk assessment tool? An exploratory concept mapping study
Published in
BMC Medical Informatics and Decision Making, December 2012
DOI 10.1186/1472-6947-12-149
Pubmed ID
Authors

Farah Ahmad, Cameron Norman, Patricia O’Campo

Abstract

Emerging eHealth tools could facilitate the delivery of comprehensive care in time-constrained clinical settings. One such tool is interactive computer-assisted health-risk assessments (HRA), which may improve provider-patient communication at the point of care, particularly for psychosocial health concerns, which remain under-detected in clinical encounters. The research team explored the perspectives of healthcare providers representing a variety of disciplines (physicians, nurses, social workers, allied staff) regarding the factors required for implementation of an interactive HRA on psychosocial health.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 2 2%
Netherlands 1 <1%
Denmark 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 124 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Master 25 19%
Student > Ph. D. Student 18 14%
Student > Bachelor 13 10%
Other 12 9%
Other 27 20%
Unknown 11 8%
Readers by discipline Count As %
Medicine and Dentistry 44 33%
Social Sciences 16 12%
Nursing and Health Professions 15 11%
Psychology 14 11%
Computer Science 9 7%
Other 18 14%
Unknown 16 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 December 2012.
All research outputs
#5,716,147
of 11,345,964 outputs
Outputs from BMC Medical Informatics and Decision Making
#459
of 1,049 outputs
Outputs of similar age
#113,935
of 310,635 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 65 outputs
Altmetric has tracked 11,345,964 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,049 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 55% 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 310,635 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 62% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.