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An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research

Overview of attention for article published in Prevention Science, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
3 X users
q&a
1 Q&A thread

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
1 CiteULike
Title
An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research
Published in
Prevention Science, February 2013
DOI 10.1007/s11121-012-0339-5
Pubmed ID
Authors

Weiwei Liu, S. Janet Kuramoto, Elizabeth A. Stuart

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Unknown 155 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 24 15%
Student > Master 20 13%
Other 17 11%
Student > Doctoral Student 13 8%
Other 25 16%
Unknown 26 17%
Readers by discipline Count As %
Social Sciences 25 16%
Medicine and Dentistry 23 15%
Economics, Econometrics and Finance 12 8%
Mathematics 7 4%
Psychology 7 4%
Other 39 25%
Unknown 44 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 29 September 2023.
All research outputs
#1,671,394
of 25,088,711 outputs
Outputs from Prevention Science
#90
of 1,128 outputs
Outputs of similar age
#16,305
of 300,329 outputs
Outputs of similar age from Prevention Science
#3
of 53 outputs
Altmetric has tracked 25,088,711 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,128 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 92% 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 300,329 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.