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Mendeley readers
Attention Score in Context
Title |
Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings
|
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Published in |
BMC Medical Informatics and Decision Making, January 2009
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DOI | 10.1186/1472-6947-9-6 |
Pubmed ID | |
Authors |
Madhukar H Trivedi, Ella J Daly, Janet K Kern, Bruce D Grannemann, Prabha Sunderajan, Cynthia A Claassen |
Abstract |
Despite wide promotion, clinical practice guidelines have had limited effect in changing physician behavior. Effective implementation strategies to date have included: multifaceted interventions involving audit and feedback, local consensus processes, marketing; reminder systems, either manual or computerized; and interactive educational meetings. In addition, there is now growing evidence that contextual factors affecting implementation must be addressed such as organizational support (leadership procedures and resources) for the change and strategies to implement and maintain new systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 2% |
United States | 2 | <1% |
Canada | 2 | <1% |
Indonesia | 1 | <1% |
Ireland | 1 | <1% |
Italy | 1 | <1% |
Norway | 1 | <1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
Other | 6 | 3% |
Unknown | 181 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 50 | 25% |
Student > Ph. D. Student | 32 | 16% |
Researcher | 23 | 11% |
Student > Doctoral Student | 15 | 7% |
Student > Bachelor | 14 | 7% |
Other | 42 | 21% |
Unknown | 26 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 53 | 26% |
Medicine and Dentistry | 45 | 22% |
Psychology | 16 | 8% |
Nursing and Health Professions | 13 | 6% |
Social Sciences | 13 | 6% |
Other | 34 | 17% |
Unknown | 28 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 August 2013.
All research outputs
#18,343,746
of 22,716,996 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,565
of 1,982 outputs
Outputs of similar age
#158,577
of 170,124 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 12 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 170,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.