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Congruence between patients’ preferred and perceived participation in medical decision-making: a review of the literature

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
6 X users

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
159 Mendeley
citeulike
1 CiteULike
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Title
Congruence between patients’ preferred and perceived participation in medical decision-making: a review of the literature
Published in
BMC Medical Informatics and Decision Making, April 2014
DOI 10.1186/1472-6947-14-25
Pubmed ID
Authors

Linda Brom, Wendy Hopmans, H Roeline W Pasman, Danielle RM Timmermans, Guy AM Widdershoven, Bregje D Onwuteaka-Philipsen

Abstract

Patients are increasingly expected and asked to be involved in health care decisions. In this decision-making process, preferences for participation are important. In this systematic review we aim to provide an overview the literature related to the congruence between patients' preferences and their perceived participation in medical decision-making. We also explore the direction of mismatched and outline factors associated with congruence.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Sweden 1 <1%
Ghana 1 <1%
Canada 1 <1%
Unknown 155 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 25 16%
Student > Master 22 14%
Other 9 6%
Student > Bachelor 8 5%
Other 30 19%
Unknown 30 19%
Readers by discipline Count As %
Medicine and Dentistry 45 28%
Nursing and Health Professions 23 14%
Social Sciences 15 9%
Psychology 13 8%
Business, Management and Accounting 5 3%
Other 17 11%
Unknown 41 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 January 2016.
All research outputs
#4,771,064
of 23,313,051 outputs
Outputs from BMC Medical Informatics and Decision Making
#436
of 2,024 outputs
Outputs of similar age
#47,069
of 226,868 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 29 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 226,868 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 79% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.