↓ Skip to main content

A counterfactual approach to bias and effect modification in terms of response types

Overview of attention for article published in BMC Medical Research Methodology, July 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A counterfactual approach to bias and effect modification in terms of response types
Published in
BMC Medical Research Methodology, July 2013
DOI 10.1186/1471-2288-13-101
Pubmed ID
Authors

Etsuji Suzuki, Toshiharu Mitsuhashi, Toshihide Tsuda, Eiji Yamamoto

Abstract

The counterfactual approach provides a clear and coherent framework to think about a variety of important concepts related to causation. Meanwhile, directed acyclic graphs have been used as causal diagrams in epidemiologic research to visually summarize hypothetical relations among variables of interest, providing a clear understanding of underlying causal structures of bias and effect modification. In this study, the authors aim to further clarify the concepts of bias (confounding bias and selection bias) and effect modification in the counterfactual framework.

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 5 12%
Researcher 4 10%
Professor 4 10%
Other 3 7%
Other 9 22%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Mathematics 3 7%
Nursing and Health Professions 2 5%
Engineering 2 5%
Social Sciences 2 5%
Other 8 20%
Unknown 8 20%

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 01 August 2013.
All research outputs
#14,168,553
of 17,748,481 outputs
Outputs from BMC Medical Research Methodology
#1,412
of 1,647 outputs
Outputs of similar age
#120,572
of 167,736 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 17,748,481 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 7th percentile – i.e., 7% 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 167,736 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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