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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Shared decision-making and health for First Nations, Métis and Inuit women: a study protocol
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, December 2012
|
DOI | 10.1186/1472-6947-12-146 |
Pubmed ID | |
Authors |
Janet Jull, Dawn Stacey, Audrey Giles, Yvonne Boyer, Minwaashin Lodge, The Aboriginal Women's Support Centre |
Abstract |
Little is known about shared decision-making (SDM) with Métis, First Nations and Inuit women ("Aboriginal women"). SDM is a collaborative process that engages health care professional(s) and the client in making health decisions and is fundamental for informed consent and patient-centred care. The objective of this study is to explore Aboriginal women's health and social decision-making needs and to engage Aboriginal women in culturally adapting an SDM approach. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 20% |
Canada | 1 | 20% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 101 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 21% |
Researcher | 16 | 16% |
Student > Ph. D. Student | 16 | 16% |
Student > Bachelor | 10 | 10% |
Librarian | 6 | 6% |
Other | 19 | 18% |
Unknown | 14 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 18% |
Social Sciences | 18 | 17% |
Nursing and Health Professions | 17 | 17% |
Psychology | 4 | 4% |
Computer Science | 4 | 4% |
Other | 18 | 17% |
Unknown | 23 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 15 October 2019.
All research outputs
#2,242,227
of 22,689,790 outputs
Outputs from BMC Medical Informatics and Decision Making
#149
of 1,980 outputs
Outputs of similar age
#23,360
of 280,030 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 48 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 280,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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 has done well, scoring higher than 81% of its contemporaries.