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Implicit Bias among Physicians and its Prediction of Thrombolysis Decisions for Black and White Patients

Overview of attention for article published in Journal of General Internal Medicine, June 2007
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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1072 Dimensions

Readers on

mendeley
940 Mendeley
citeulike
1 CiteULike
Title
Implicit Bias among Physicians and its Prediction of Thrombolysis Decisions for Black and White Patients
Published in
Journal of General Internal Medicine, June 2007
DOI 10.1007/s11606-007-0258-5
Pubmed ID
Authors

Alexander R. Green, Dana R. Carney, Daniel J. Pallin, Long H. Ngo, Kristal L. Raymond, Lisa I. Iezzoni, Mahzarin R. Banaji

Abstract

Studies documenting racial/ethnic disparities in health care frequently implicate physicians' unconscious biases. No study to date has measured physicians' unconscious racial bias to test whether this predicts physicians' clinical decisions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 940 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 2%
Switzerland 2 <1%
Netherlands 1 <1%
Chile 1 <1%
Brazil 1 <1%
Italy 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 912 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 149 16%
Student > Bachelor 114 12%
Student > Doctoral Student 108 11%
Researcher 104 11%
Student > Master 86 9%
Other 224 24%
Unknown 155 16%
Readers by discipline Count As %
Medicine and Dentistry 218 23%
Psychology 206 22%
Social Sciences 131 14%
Nursing and Health Professions 38 4%
Agricultural and Biological Sciences 24 3%
Other 127 14%
Unknown 196 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 493. 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 25 January 2024.
All research outputs
#53,989
of 25,750,437 outputs
Outputs from Journal of General Internal Medicine
#52
of 8,247 outputs
Outputs of similar age
#45
of 79,197 outputs
Outputs of similar age from Journal of General Internal Medicine
#1
of 32 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 99% 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 79,197 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 99% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.