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Communicating population health statistics through graphs: a randomised controlled trial of graph design interventions

Overview of attention for article published in BMC Medicine, December 2006
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Title
Communicating population health statistics through graphs: a randomised controlled trial of graph design interventions
Published in
BMC Medicine, December 2006
DOI 10.1186/1741-7015-4-33
Pubmed ID
Authors

David J Muscatello, Andrew Searles, Robin Macdonald, Louisa Jorm

Abstract

Australian epidemiologists have recognised that lay readers have difficulty understanding statistical graphs in reports on population health. This study aimed to provide evidence for graph design improvements that increase comprehension by non-experts.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Other 5 11%
Professor 4 9%
Student > Ph. D. Student 4 9%
Professor > Associate Professor 3 7%
Other 9 20%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Computer Science 5 11%
Nursing and Health Professions 5 11%
Psychology 4 9%
Social Sciences 3 7%
Other 6 13%
Unknown 13 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from BMC Medicine
#3,037
of 3,413 outputs
Outputs of similar age
#132,690
of 156,327 outputs
Outputs of similar age from BMC Medicine
#9
of 9 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 156,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.