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Statistical evaluation of adding multiple risk factors improves Framingham stroke risk score

Overview of attention for article published in BMC Medical Research Methodology, April 2017
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1 X user

Citations

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7 Dimensions

Readers on

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38 Mendeley
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Title
Statistical evaluation of adding multiple risk factors improves Framingham stroke risk score
Published in
BMC Medical Research Methodology, April 2017
DOI 10.1186/s12874-017-0330-8
Pubmed ID
Authors

Xiao-Hua Zhou, Xiaonan Wang, Ashlee Duncan, Guizhou Hu, Jiayin Zheng

X Demographics

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 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 %
Student > Ph. D. Student 6 16%
Researcher 5 13%
Student > Bachelor 4 11%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Computer Science 5 13%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 2 5%
Psychology 1 3%
Other 6 16%
Unknown 11 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 16 April 2017.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from BMC Medical Research Methodology
#2,016
of 2,327 outputs
Outputs of similar age
#252,452
of 326,923 outputs
Outputs of similar age from BMC Medical Research Methodology
#33
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 5th percentile – i.e., 5% 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 326,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.