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A Bayesian hierarchical logistic regression model of multiple informant family health histories

Overview of attention for article published in BMC Medical Research Methodology, March 2019
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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 (75th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A Bayesian hierarchical logistic regression model of multiple informant family health histories
Published in
BMC Medical Research Methodology, March 2019
DOI 10.1186/s12874-019-0700-5
Authors

Jielu Lin, Melanie F. Myers, Laura M. Koehly, Christopher Steven Marcum

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Postgraduate 2 11%
Professor 1 5%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Nursing and Health Professions 3 16%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Other 3 16%
Unknown 7 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 March 2019.
All research outputs
#2,358,623
of 14,561,944 outputs
Outputs from BMC Medical Research Methodology
#406
of 1,344 outputs
Outputs of similar age
#65,496
of 264,544 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 14,561,944 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,344 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 69% 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 264,544 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 75% 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