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Research on health equity in the SDG era: the urgent need for greater focus on implementation

Overview of attention for article published in International Journal for Equity in Health, December 2016
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

policy
1 policy source
twitter
41 X users
facebook
2 Facebook pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Research on health equity in the SDG era: the urgent need for greater focus on implementation
Published in
International Journal for Equity in Health, December 2016
DOI 10.1186/s12939-016-0493-7
Pubmed ID
Authors

Kumanan Rasanathan, Theresa Diaz

Abstract

The tremendous increase in knowledge on inequities in health and their drivers in recent decades has not been matched by improvements in health inequities themselves, or by systematic evidence of what works to reduce health inequities. Within health equity research there is a skew towards diagnostic studies in comparison to intervention studies showing evidence of how interventions can reduce disparities. The lack of sufficient specific evidence on how to implement specific policies and interventions in specific contexts to reduce health inequities creates policy confusion and partly explains the lack of progress on health inequities. In the field of research on equity in health, the time has come to stop focusing so much energy on prevalence and pathways, and instead shift to proposing and testing solutions. Four promising approaches to do so are implementation research, natural experimental policy studies, research on buy-in by policy-makers to action on health inequities, and geospatial analysis. The case for action on social determinants and health inequities has well and truly been made. The community of researchers on health equity now need to turn their attention to supporting implementation efforts towards achievements of the Sustainable Development Goals and substantive reductions in health inequities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Student > Postgraduate 2 5%
Professor 1 3%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Social Sciences 7 18%
Nursing and Health Professions 7 18%
Economics, Econometrics and Finance 3 8%
Medicine and Dentistry 3 8%
Computer Science 1 3%
Other 5 13%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 17 January 2024.
All research outputs
#1,322,360
of 25,000,733 outputs
Outputs from International Journal for Equity in Health
#183
of 2,179 outputs
Outputs of similar age
#26,842
of 431,033 outputs
Outputs of similar age from International Journal for Equity in Health
#7
of 49 outputs
Altmetric has tracked 25,000,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,179 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 91% 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 431,033 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 93% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.