| Title |
Introducing M-GCTA a Software Package to Estimate Maternal (or Paternal) Genetic Effects on Offspring Phenotypes
|
|---|---|
| Published in |
Behavior Genetics, September 2019
|
| DOI | 10.1007/s10519-019-09969-4 |
| Pubmed ID | |
| Authors |
Zhen Qiao, Jie Zheng, Øyvind Helgeland, Marc Vaudel, Stefan Johansson, Pål R. Njølstad, George Davey Smith, Nicole M. Warrington, David M. Evans |
X Demographics
The data shown below were collected from the profiles of 26 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 | 7 | 27% |
| United States | 3 | 12% |
| Netherlands | 2 | 8% |
| Norway | 1 | 4% |
| New Zealand | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Israel | 1 | 4% |
| Brazil | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 46% |
| Members of the public | 9 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 12% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
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 % |
|---|---|---|
| Other | 6 | 17% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 17% |
| Psychology | 5 | 14% |
| Nursing and Health Professions | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Social Sciences | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 18 May 2020.
All research outputs
#2,342,547
of 23,832,995 outputs
Outputs from Behavior Genetics
#123
of 933 outputs
Outputs of similar age
#49,335
of 342,575 outputs
Outputs of similar age from Behavior Genetics
#3
of 9 outputs
Altmetric has tracked 23,832,995 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 86% 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 342,575 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.