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Big Data and the Study of Social Inequalities in Health: Expectations and Issues

Overview of attention for article published in Frontiers in Public Health, October 2018
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
19 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Big Data and the Study of Social Inequalities in Health: Expectations and Issues
Published in
Frontiers in Public Health, October 2018
DOI 10.3389/fpubh.2018.00312
Pubmed ID
Authors

Cyrille Delpierre, Michelle Kelly-Irving

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 8 18%
Student > Bachelor 4 9%
Professor 4 9%
Student > Doctoral Student 4 9%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Medicine and Dentistry 7 16%
Social Sciences 4 9%
Psychology 3 7%
Engineering 3 7%
Other 7 16%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2018.
All research outputs
#2,862,730
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#1,410
of 14,996 outputs
Outputs of similar age
#56,066
of 365,254 outputs
Outputs of similar age from Frontiers in Public Health
#14
of 92 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 90% 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 365,254 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 84% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.