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Causal inference based on counterfactuals

Overview of attention for article published in BMC Medical Research Methodology, September 2005
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

blogs
1 blog
twitter
17 tweeters
patent
2 patents
q&a
1 Q&A thread

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
350 Mendeley
citeulike
4 CiteULike
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Title
Causal inference based on counterfactuals
Published in
BMC Medical Research Methodology, September 2005
DOI 10.1186/1471-2288-5-28
Pubmed ID
Authors

M Höfler

Abstract

The counterfactual or potential outcome model has become increasingly standard for causal inference in epidemiological and medical studies.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters 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 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 1%
United States 3 <1%
United Kingdom 2 <1%
Switzerland 1 <1%
India 1 <1%
Brazil 1 <1%
Malaysia 1 <1%
Belgium 1 <1%
Chile 1 <1%
Other 2 <1%
Unknown 333 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 21%
Student > Ph. D. Student 70 20%
Student > Master 30 9%
Professor > Associate Professor 26 7%
Other 23 7%
Other 83 24%
Unknown 43 12%
Readers by discipline Count As %
Medicine and Dentistry 105 30%
Social Sciences 25 7%
Psychology 22 6%
Agricultural and Biological Sciences 21 6%
Computer Science 17 5%
Other 93 27%
Unknown 67 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 19 January 2022.
All research outputs
#1,064,220
of 21,963,432 outputs
Outputs from BMC Medical Research Methodology
#132
of 1,943 outputs
Outputs of similar age
#9,202
of 176,469 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 21,963,432 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 93% 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 176,469 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 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