| 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. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 22% |
| Spain | 1 | 6% |
| United Kingdom | 1 | 6% |
| Argentina | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Practitioners (doctors, other healthcare professionals) | 5 | 28% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 403 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 | 386 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 81 | 20% |
| Student > Ph. D. Student | 77 | 19% |
| Student > Master | 34 | 8% |
| Professor > Associate Professor | 27 | 7% |
| Professor | 26 | 6% |
| Other | 90 | 22% |
| Unknown | 68 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 116 | 29% |
| Social Sciences | 28 | 7% |
| Psychology | 22 | 5% |
| Agricultural and Biological Sciences | 21 | 5% |
| Computer Science | 20 | 5% |
| Other | 103 | 26% |
| Unknown | 93 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 17 December 2023.
All research outputs
#1,287,278
of 25,503,365 outputs
Outputs from BMC Medical Research Methodology
#135
of 2,289 outputs
Outputs of similar age
#1,781
of 71,044 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 3 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 94% 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 71,044 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 97% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.