| Title |
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
|
|---|---|
| Published in |
European Journal of Epidemiology, March 2015
|
| DOI | 10.1007/s10654-015-0011-z |
| Pubmed ID | |
| Authors |
Stephen Burgess, Robert A. Scott, Nicholas J. Timpson, George Davey Smith, Simon G. Thompson, EPIC- InterAct Consortium |
X Demographics
The data shown below were collected from the profiles of 8 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 | 4 | 50% |
| Germany | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| United States | 2 | <1% |
| Australia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Finland | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 357 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 82 | 22% |
| Researcher | 68 | 19% |
| Student > Master | 41 | 11% |
| Student > Bachelor | 25 | 7% |
| Student > Postgraduate | 17 | 5% |
| Other | 59 | 16% |
| Unknown | 74 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 87 | 24% |
| Biochemistry, Genetics and Molecular Biology | 59 | 16% |
| Agricultural and Biological Sciences | 50 | 14% |
| Psychology | 15 | 4% |
| Mathematics | 12 | 3% |
| Other | 52 | 14% |
| Unknown | 91 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 28 August 2018.
All research outputs
#1,822,289
of 25,837,817 outputs
Outputs from European Journal of Epidemiology
#270
of 1,864 outputs
Outputs of similar age
#22,868
of 279,996 outputs
Outputs of similar age from European Journal of Epidemiology
#4
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.4. This one has done well, scoring higher than 84% 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 279,996 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 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.