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Transforming Epidemiology for 21st Century Medicine and Public Health

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, April 2013
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
70 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
234 Mendeley
citeulike
3 CiteULike
Title
Transforming Epidemiology for 21st Century Medicine and Public Health
Published in
Cancer Epidemiology, Biomarkers & Prevention, April 2013
DOI 10.1158/1055-9965.epi-13-0146
Pubmed ID
Authors

Muin J. Khoury, Tram Kim Lam, John P.A. Ioannidis, Patricia Hartge, Margaret R. Spitz, Julie E. Buring, Stephen J. Chanock, Robert T. Croyle, Katrina A. Goddard, Geoffrey S. Ginsburg, Zdenko Herceg, Robert A. Hiatt, Robert N. Hoover, David J. Hunter, Barnet S. Kramer, Michael S. Lauer, Jeffrey A. Meyerhardt, Olufunmilayo I. Olopade, Julie R. Palmer, Thomas A. Sellers, Daniela Seminara, David F. Ransohoff, Timothy R. Rebbeck, Georgia Tourassi, Deborah M. Winn, Ann Zauber, Sheri D. Schully

Abstract

In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating "big data" science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 1%
United States 3 1%
Netherlands 1 <1%
Brazil 1 <1%
Costa Rica 1 <1%
United Kingdom 1 <1%
France 1 <1%
Taiwan 1 <1%
Australia 1 <1%
Other 2 <1%
Unknown 219 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 20%
Student > Ph. D. Student 34 15%
Student > Master 30 13%
Other 23 10%
Professor > Associate Professor 13 6%
Other 48 21%
Unknown 39 17%
Readers by discipline Count As %
Medicine and Dentistry 69 29%
Social Sciences 17 7%
Engineering 13 6%
Biochemistry, Genetics and Molecular Biology 11 5%
Agricultural and Biological Sciences 11 5%
Other 57 24%
Unknown 56 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 January 2023.
All research outputs
#732,227
of 25,837,817 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#265
of 4,909 outputs
Outputs of similar age
#5,001
of 215,627 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#7
of 67 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,909 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done particularly well, scoring higher than 93% 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 215,627 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 97% of its contemporaries.
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 has done well, scoring higher than 89% of its contemporaries.