| Title |
Reducing bias through directed acyclic graphs
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2008
|
| DOI | 10.1186/1471-2288-8-70 |
| Pubmed ID | |
| Authors |
Ian Shrier, Robert W Platt |
X Demographics
The data shown below were collected from the profiles of 31 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 Kingdom | 6 | 19% |
| United States | 4 | 13% |
| Canada | 2 | 6% |
| Japan | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 15 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 45% |
| Members of the public | 14 | 45% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,010 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| Canada | 6 | <1% |
| United Kingdom | 5 | <1% |
| France | 4 | <1% |
| Ireland | 2 | <1% |
| Brazil | 2 | <1% |
| Peru | 2 | <1% |
| Denmark | 2 | <1% |
| Germany | 2 | <1% |
| Other | 8 | <1% |
| Unknown | 969 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 205 | 20% |
| Researcher | 167 | 17% |
| Student > Master | 154 | 15% |
| Student > Doctoral Student | 61 | 6% |
| Other | 58 | 6% |
| Other | 198 | 20% |
| Unknown | 167 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 374 | 37% |
| Social Sciences | 75 | 7% |
| Agricultural and Biological Sciences | 50 | 5% |
| Nursing and Health Professions | 46 | 5% |
| Psychology | 38 | 4% |
| Other | 193 | 19% |
| Unknown | 234 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 09 November 2023.
All research outputs
#985,169
of 25,845,895 outputs
Outputs from BMC Medical Research Methodology
#89
of 2,328 outputs
Outputs of similar age
#2,148
of 105,585 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 6 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,328 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 96% 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 105,585 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.