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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring agreement between decision support reminders: the cloud vs. the local expert
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2014
|
| DOI | 10.1186/1472-6947-14-31 |
| Pubmed ID | |
| Authors |
Brian Edward Dixon, Linas Simonaitis, Susan M Perkins, Adam Wright, Blackford Middleton |
| Abstract |
A cloud-based clinical decision support system (CDSS) was implemented to remotely provide evidence-based guideline reminders in support of preventative health. Following implementation, we measured the agreement between preventive care reminders generated by an existing, local CDSS and the new, cloud-based CDSS operating on the same patient visit data. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| India | 2 | 33% |
| Saudi Arabia | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 9 | 18% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 26% |
| Nursing and Health Professions | 7 | 14% |
| Computer Science | 6 | 12% |
| Social Sciences | 4 | 8% |
| Business, Management and Accounting | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 9 | 18% |
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 27 October 2014.
All research outputs
#7,132,838
of 22,753,345 outputs
Outputs from BMC Medical Informatics and Decision Making
#706
of 1,985 outputs
Outputs of similar age
#70,764
of 228,161 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 28 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,985 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 63% 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 228,161 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 68% of its contemporaries.
We're also able to compare this research output to 28 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 57% of its contemporaries.