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Epidemiology in wonderland: Big Data and precision medicine

Overview of attention for article published in European Journal of Epidemiology, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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11 X users

Citations

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38 Dimensions

Readers on

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89 Mendeley
Title
Epidemiology in wonderland: Big Data and precision medicine
Published in
European Journal of Epidemiology, April 2018
DOI 10.1007/s10654-018-0385-9
Pubmed ID
Authors

Rodolfo Saracci

Abstract

Big Data and precision medicine, two major contemporary challenges for epidemiology, are critically examined from two different angles. In Part 1 Big Data collected for research purposes (Big research Data) and Big Data used for research although collected for other primary purposes (Big secondary Data) are discussed in the light of the fundamental common requirement of data validity, prevailing over "bigness". Precision medicine is treated developing the key point that high relative risks are as a rule required to make a variable or combination of variables suitable for prediction of disease occurrence, outcome or response to treatment; the commercial proliferation of allegedly predictive tests of unknown or poor validity is commented. Part 2 proposes a "wise epidemiology" approach to: (a) choosing in a context imprinted by Big Data and precision medicine-epidemiological research projects actually relevant to population health, (b) training epidemiologists,

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 16%
Student > Master 13 15%
Researcher 7 8%
Other 6 7%
Professor > Associate Professor 6 7%
Other 18 20%
Unknown 25 28%
Readers by discipline Count As %
Medicine and Dentistry 27 30%
Biochemistry, Genetics and Molecular Biology 5 6%
Social Sciences 5 6%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 3 3%
Other 17 19%
Unknown 28 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 February 2019.
All research outputs
#5,636,734
of 23,577,761 outputs
Outputs from European Journal of Epidemiology
#625
of 1,669 outputs
Outputs of similar age
#95,916
of 330,985 outputs
Outputs of similar age from European Journal of Epidemiology
#18
of 41 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. This one has gotten more attention than average, scoring higher than 62% 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 330,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 41 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 56% of its contemporaries.