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Health numeracy in Japan: measures of basic numeracy account for framing bias in a highly numerate population

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2012
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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9 X users

Citations

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28 Dimensions

Readers on

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84 Mendeley
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Title
Health numeracy in Japan: measures of basic numeracy account for framing bias in a highly numerate population
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-104
Pubmed ID
Authors

Masako Okamoto, Yasushi Kyutoku, Manabu Sawada, Lester Clowney, Eiju Watanabe, Ippeita Dan, Keiko Kawamoto

Abstract

Health numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Switzerland 2 2%
United States 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 19%
Student > Ph. D. Student 10 12%
Researcher 9 11%
Librarian 6 7%
Student > Bachelor 5 6%
Other 21 25%
Unknown 17 20%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Psychology 15 18%
Social Sciences 9 11%
Nursing and Health Professions 8 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 13 15%
Unknown 18 21%
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 28 September 2012.
All research outputs
#5,507,014
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#474
of 1,979 outputs
Outputs of similar age
#39,124
of 168,561 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 42 outputs
Altmetric has tracked 22,678,224 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 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 168,561 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 76% of its contemporaries.
We're also able to compare this research output to 42 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 69% of its contemporaries.