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Predictive Validity Evidence for Medical Education Research Study Quality Instrument Scores: Quality of Submissions to JGIM’s Medical Education Special Issue

Overview of attention for article published in Journal of General Internal Medicine, July 2008
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Title
Predictive Validity Evidence for Medical Education Research Study Quality Instrument Scores: Quality of Submissions to JGIM’s Medical Education Special Issue
Published in
Journal of General Internal Medicine, July 2008
DOI 10.1007/s11606-008-0664-3
Pubmed ID
Authors

Darcy A. Reed, Thomas J. Beckman, Scott M. Wright, Rachel B. Levine, David E. Kern, David A. Cook

Abstract

Deficiencies in medical education research quality are widely acknowledged. Content, internal structure, and criterion validity evidence support the use of the Medical Education Research Study Quality Instrument (MERSQI) to measure education research quality, but predictive validity evidence has not been explored.

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The data shown below were collected from the profiles of 2 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
United States 1 <1%
Portugal 1 <1%
Unknown 174 98%

Demographic breakdown

Readers by professional status Count As %
Professor 20 11%
Student > Bachelor 18 10%
Professor > Associate Professor 17 10%
Student > Postgraduate 15 8%
Researcher 15 8%
Other 67 38%
Unknown 26 15%
Readers by discipline Count As %
Medicine and Dentistry 89 50%
Social Sciences 17 10%
Nursing and Health Professions 9 5%
Agricultural and Biological Sciences 5 3%
Business, Management and Accounting 3 2%
Other 20 11%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 February 2014.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,057
of 7,806 outputs
Outputs of similar age
#71,794
of 84,176 outputs
Outputs of similar age from Journal of General Internal Medicine
#60
of 67 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 84,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.