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Attention Score in Context
Title |
Users’ perspectives of key factors to implementing electronic health records in Canada: a Delphi study
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2012
|
DOI | 10.1186/1472-6947-12-105 |
Pubmed ID | |
Authors |
Carrie Anna McGinn, Marie-Pierre Gagnon, Nicola Shaw, Claude Sicotte, Luc Mathieu, Yvan Leduc, Sonya Grenier, Julie Duplantie, Anis Ben Abdeljelil, France Légaré |
Abstract |
Interoperable electronic health record (EHR) solutions are currently being implemented in Canada, as in many other countries. Understanding EHR users' perspectives is key to the success of EHR implementation projects. This Delphi study aimed to assess in the Canadian context the applicability, the importance, and the priority of pre-identified factors from a previous mixed-methods systematic review of international literature. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
United Kingdom | 2 | 25% |
United States | 2 | 25% |
Canada | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Practitioners (doctors, other healthcare professionals) | 3 | 38% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 5 | 2% |
Netherlands | 2 | <1% |
United Kingdom | 2 | <1% |
Indonesia | 1 | <1% |
Malaysia | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 254 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 63 | 24% |
Student > Ph. D. Student | 46 | 17% |
Researcher | 31 | 12% |
Student > Doctoral Student | 18 | 7% |
Student > Bachelor | 17 | 6% |
Other | 51 | 19% |
Unknown | 40 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 61 | 23% |
Computer Science | 47 | 18% |
Nursing and Health Professions | 27 | 10% |
Social Sciences | 24 | 9% |
Business, Management and Accounting | 18 | 7% |
Other | 38 | 14% |
Unknown | 51 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 March 2019.
All research outputs
#3,992,929
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#346
of 1,979 outputs
Outputs of similar age
#28,644
of 168,561 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 42 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% 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 168,561 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 82% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.