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Genders of patients and clinicians and their effect on shared decision making: a participant-level meta-analysis

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users

Readers on

mendeley
88 Mendeley
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Title
Genders of patients and clinicians and their effect on shared decision making: a participant-level meta-analysis
Published in
BMC Medical Informatics and Decision Making, September 2014
DOI 10.1186/1472-6947-14-81
Pubmed ID
Authors

Kirk D Wyatt, Megan E Branda, Jonathan W Inselman, Henry H Ting, Erik P Hess, Victor M Montori, Annie LeBlanc

Abstract

Gender differences in communication styles between clinicians and patients have been postulated to impact patient care, but the extent to which the gender dyad structure impacts outcomes in shared decision making remains unclear.

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X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 23%
Student > Master 15 17%
Student > Ph. D. Student 10 11%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 12 14%
Unknown 20 23%
Readers by discipline Count As %
Medicine and Dentistry 24 27%
Social Sciences 10 11%
Nursing and Health Professions 7 8%
Psychology 6 7%
Agricultural and Biological Sciences 3 3%
Other 13 15%
Unknown 25 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 September 2015.
All research outputs
#2,766,448
of 23,318,744 outputs
Outputs from BMC Medical Informatics and Decision Making
#206
of 2,024 outputs
Outputs of similar age
#29,695
of 238,637 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 31 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. Compared to these this one has done well and is in the 88th 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 89% 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 238,637 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 87% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.