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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2012
|
| DOI | 10.1186/1472-6947-12-6 |
| Pubmed ID | |
| Authors |
Joan S Ash, Dean F Sittig, Kenneth P Guappone, Richard H Dykstra, Joshua Richardson, Adam Wright, James Carpenter, Carmit McMullen, Michael Shapiro, Arwen Bunce, Blackford Middleton |
| Abstract |
The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| Canada | 2 | 14% |
| India | 1 | 7% |
| Venezuela, Bolivarian Republic of | 1 | 7% |
| Afghanistan | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Practitioners (doctors, other healthcare professionals) | 3 | 21% |
| Scientists | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 2% |
| United States | 3 | 2% |
| Spain | 2 | 1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 169 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 24% |
| Researcher | 28 | 15% |
| Student > Ph. D. Student | 16 | 9% |
| Other | 14 | 8% |
| Student > Doctoral Student | 14 | 8% |
| Other | 40 | 22% |
| Unknown | 25 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 33% |
| Computer Science | 25 | 14% |
| Nursing and Health Professions | 20 | 11% |
| Psychology | 13 | 7% |
| Social Sciences | 11 | 6% |
| Other | 25 | 14% |
| Unknown | 27 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 16 September 2013.
All research outputs
#3,235,298
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#263
of 2,025 outputs
Outputs of similar age
#27,814
of 254,550 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 24 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 87% 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 254,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.