You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits
|
|---|---|
| Published in |
Genome Biology, July 2021
|
| DOI | 10.1186/s13059-021-02416-w |
| Pubmed ID | |
| Authors |
Daniel E. Runcie, Jiayi Qu, Hao Cheng, Lorin Crawford |
X Demographics
The data shown below were collected from the profiles of 50 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 | 17 | 34% |
| United Kingdom | 5 | 10% |
| Australia | 2 | 4% |
| Germany | 2 | 4% |
| Russia | 1 | 2% |
| Japan | 1 | 2% |
| France | 1 | 2% |
| Sweden | 1 | 2% |
| Chile | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 25 | 50% |
| Members of the public | 23 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Researcher | 20 | 21% |
| Student > Master | 13 | 13% |
| Professor | 5 | 5% |
| Student > Doctoral Student | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 24 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 48% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Computer Science | 5 | 5% |
| Psychology | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 27 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 13 August 2021.
All research outputs
#1,221,835
of 25,721,020 outputs
Outputs from Genome Biology
#906
of 4,507 outputs
Outputs of similar age
#29,556
of 445,815 outputs
Outputs of similar age from Genome Biology
#21
of 85 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 79% 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 445,815 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 93% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.