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Optimizing data visualization for reproductive, maternal, newborn, child health, and nutrition (RMNCH

Overview of attention for article published in Global Health Research and Policy, February 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Optimizing data visualization for reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) policymaking: data visualization preferences and interpretation capacity among decision-makers in Tanzania
Published in
Global Health Research and Policy, February 2019
DOI 10.1186/s41256-019-0095-1
Pubmed ID
Authors

Tricia Aung, Debora Niyeha, Shagihilu, Rose Mpembeni, Joyceline Kaganda, Ashley Sheffel, Rebecca Heidkamp

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Doctoral Student 6 11%
Student > Bachelor 5 9%
Student > Master 5 9%
Student > Ph. D. Student 4 8%
Other 4 8%
Unknown 19 36%
Readers by discipline Count As %
Social Sciences 8 15%
Medicine and Dentistry 5 9%
Nursing and Health Professions 5 9%
Decision Sciences 3 6%
Business, Management and Accounting 2 4%
Other 13 25%
Unknown 17 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 June 2021.
All research outputs
#5,314,113
of 19,519,615 outputs
Outputs from Global Health Research and Policy
#75
of 155 outputs
Outputs of similar age
#135,027
of 414,982 outputs
Outputs of similar age from Global Health Research and Policy
#1
of 1 outputs
Altmetric has tracked 19,519,615 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 51% 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 414,982 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 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them