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X Demographics
Mendeley readers
Attention Score in Context
| Title |
lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
|
|---|---|
| Published in |
BMC Bioinformatics, February 2018
|
| DOI | 10.1186/s12859-018-2057-x |
| Pubmed ID | |
| Authors |
Andrey Ziyatdinov, Miquel Vázquez-Santiago, Helena Brunel, Angel Martinez-Perez, Hugues Aschard, Jose Manuel Soria |
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 | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 156 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 29% |
| Researcher | 32 | 21% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 11 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Other | 18 | 12% |
| Unknown | 26 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 37% |
| Biochemistry, Genetics and Molecular Biology | 31 | 20% |
| Medicine and Dentistry | 6 | 4% |
| Psychology | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 20 | 13% |
| Unknown | 35 | 22% |
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 21 November 2018.
All research outputs
#14,988,646
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#4,008
of 7,793 outputs
Outputs of similar age
#175,303
of 347,262 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 108 outputs
Altmetric has tracked 26,017,215 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 46th percentile – i.e., 46% 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 347,262 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 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.