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X Demographics
Mendeley readers
Attention Score in Context
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
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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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 20% |
Italy | 1 | 20% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
Canada | 2 | <1% |
Netherlands | 1 | <1% |
Denmark | 1 | <1% |
Tanzania, United Republic of | 1 | <1% |
Unknown | 196 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 33 | 16% |
Researcher | 32 | 16% |
Student > Ph. D. Student | 30 | 15% |
Student > Bachelor | 18 | 9% |
Other | 13 | 6% |
Other | 36 | 18% |
Unknown | 42 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 48 | 24% |
Nursing and Health Professions | 28 | 14% |
Psychology | 22 | 11% |
Social Sciences | 18 | 9% |
Computer Science | 10 | 5% |
Other | 30 | 15% |
Unknown | 48 | 24% |
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
#12,575,039
of 22,689,790 outputs
Outputs from BMC Medical Informatics and Decision Making
#828
of 1,980 outputs
Outputs of similar age
#149,703
of 280,127 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 48 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
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 57% 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 280,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.