| Title |
Diagnostics for Pleiotropy in Mendelian Randomization Studies: Global and Individual Tests for Direct Effects
|
|---|---|
| Published in |
American Journal of Epidemiology, September 2018
|
| DOI | 10.1093/aje/kwy177 |
| Pubmed ID | |
| Authors |
James Y Dai, Ulrike Peters, Xiaoyu Wang, Jonathan Kocarnik, Jenny Chang-Claude, Martha L Slattery, Andrew Chan, Mathieu Lemire, Sonja I Berndt, Graham Casey, Mingyang Song, Mark A Jenkins, Hermann Brenner, Aaron P Thrift, Emily White, Li Hsu |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Argentina | 1 | 20% |
| United Kingdom | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 6 | 17% |
| Student > Postgraduate | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Agricultural and Biological Sciences | 5 | 14% |
| Medicine and Dentistry | 5 | 14% |
| Mathematics | 4 | 11% |
| Nursing and Health Professions | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2019.
All research outputs
#13,399,463
of 23,122,481 outputs
Outputs from American Journal of Epidemiology
#7,645
of 9,100 outputs
Outputs of similar age
#166,159
of 335,900 outputs
Outputs of similar age from American Journal of Epidemiology
#57
of 71 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,100 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one is in the 15th percentile – i.e., 15% 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 335,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.