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E-learning in graduate medical education: survey of residency program directors

Overview of attention for article published in BMC Medical Education, July 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
facebook
1 Facebook page

Citations

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81 Dimensions

Readers on

mendeley
183 Mendeley
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Title
E-learning in graduate medical education: survey of residency program directors
Published in
BMC Medical Education, July 2017
DOI 10.1186/s12909-017-0953-9
Pubmed ID
Authors

Christopher M. Wittich, Anoop Agrawal, David A. Cook, Andrew J. Halvorsen, Jayawant N. Mandrekar, Saima Chaudhry, Denise M. Dupras, Amy S. Oxentenko, Thomas J. Beckman

Abstract

E-learning-the use of Internet technologies to enhance knowledge and performance-has become a widely accepted instructional approach. Little is known about the current use of e-learning in postgraduate medical education. To determine utilization of e-learning by United States internal medicine residency programs, program director (PD) perceptions of e-learning, and associations between e-learning use and residency program characteristics. We conducted a national survey in collaboration with the Association of Program Directors in Internal Medicine of all United States internal medicine residency programs. Of the 368 PDs, 214 (58.2%) completed the e-learning survey. Use of synchronous e-learning at least sometimes, somewhat often, or very often was reported by 85 (39.7%); 153 programs (71.5%) use asynchronous e-learning at least sometimes, somewhat often, or very often. Most programs (168; 79%) do not have a budget to integrate e-learning. Mean (SD) scores for the PD perceptions of e-learning ranged from 3.01 (0.94) to 3.86 (0.72) on a 5-point scale. The odds of synchronous e-learning use were higher in programs with a budget for its implementation (odds ratio, 3.0 [95% CI, 1.04-8.7]; P = .04). Residency programs could be better resourced to integrate e-learning technologies. Asynchronous e-learning was used more than synchronous, which may be to accommodate busy resident schedules and duty-hour restrictions. PD perceptions of e-learning are relatively moderate and future research should determine whether PD reluctance to adopt e-learning is based on unawareness of the evidence, perceptions that e-learning is expensive, or judgments about value versus effectiveness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Other 21 11%
Student > Master 20 11%
Researcher 19 10%
Professor > Associate Professor 15 8%
Student > Ph. D. Student 14 8%
Other 49 27%
Unknown 45 25%
Readers by discipline Count As %
Medicine and Dentistry 63 34%
Social Sciences 14 8%
Computer Science 10 5%
Business, Management and Accounting 7 4%
Psychology 6 3%
Other 30 16%
Unknown 53 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 16 October 2018.
All research outputs
#1,544,456
of 22,988,380 outputs
Outputs from BMC Medical Education
#180
of 3,356 outputs
Outputs of similar age
#32,318
of 312,555 outputs
Outputs of similar age from BMC Medical Education
#4
of 50 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 94% 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 312,555 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 89% of its contemporaries.
We're also able to compare this research output to 50 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 92% of its contemporaries.