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Charting a future for epidemiologic training

Overview of attention for article published in Annals of Epidemiology, March 2015
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
1 policy source
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28 X users
facebook
2 Facebook pages

Citations

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55 Dimensions

Readers on

mendeley
124 Mendeley
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1 CiteULike
Title
Charting a future for epidemiologic training
Published in
Annals of Epidemiology, March 2015
DOI 10.1016/j.annepidem.2015.03.002
Pubmed ID
Authors

Ross C. Brownson, Jonathan M. Samet, Gilbert F. Chavez, Megan M. Davies, Sandro Galea, Robert A. Hiatt, Carlton A. Hornung, Muin J. Khoury, Denise Koo, Vickie M. Mays, Patrick Remington, Laura Yarber

Abstract

To identify macro-level trends that are changing the needs of epidemiologic research and practice and to develop and disseminate a set of competencies and recommendations for epidemiologic training that will be responsive to these changing needs. There were three stages to the project: (1) assembling of a working group of senior epidemiologists from multiple sectors, (2) identifying relevant literature, and (3) conducting key informant interviews with 15 experienced epidemiologists. Twelve macro trends were identified along with associated actions for the field and educational competencies. The macro trends include the following: (1) "Big Data" or informatics, (2) the changing health communication environment, (3) the Affordable Care Act or health care system reform, (4) shifting demographics, (5) globalization, (6) emerging high-throughput technologies (omics), (7) a greater focus on accountability, (8) privacy changes, (9) a greater focus on "upstream" causes of disease, (10) the emergence of translational sciences, (11) the growing centrality of team and transdisciplinary science, and (12) the evolving funding environment. Addressing these issues through curricular change is needed to allow the field of epidemiology to more fully reach and sustain its full potential to benefit population health and remain a scientific discipline that makes critical contributions toward ensuring clinical, social, and population health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Unknown 121 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Student > Master 18 15%
Student > Ph. D. Student 17 14%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 24 19%
Unknown 26 21%
Readers by discipline Count As %
Medicine and Dentistry 33 27%
Social Sciences 16 13%
Nursing and Health Professions 8 6%
Computer Science 5 4%
Engineering 5 4%
Other 23 19%
Unknown 34 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 06 December 2021.
All research outputs
#1,878,775
of 25,754,670 outputs
Outputs from Annals of Epidemiology
#237
of 2,047 outputs
Outputs of similar age
#23,501
of 278,528 outputs
Outputs of similar age from Annals of Epidemiology
#9
of 31 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,047 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done well, scoring higher than 88% 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 278,528 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 91% 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 gotten more attention than average, scoring higher than 70% of its contemporaries.