| Title |
Haplin power analysis: a software module for power and sample size calculations in genetic association analyses of family triads and unrelated controls
|
|---|---|
| Published in |
BMC Bioinformatics, April 2019
|
| DOI | 10.1186/s12859-019-2727-3 |
| Pubmed ID | |
| Authors |
Miriam Gjerdevik, Astanand Jugessur, Øystein A. Haaland, Julia Romanowska, Rolv T. Lie, Heather J. Cordell, Håkon K. Gjessing |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Doctoral Student | 2 | 12% |
| Researcher | 2 | 12% |
| Professor | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Agricultural and Biological Sciences | 2 | 12% |
| Mathematics | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 April 2019.
All research outputs
#15,567,535
of 23,138,859 outputs
Outputs from BMC Bioinformatics
#5,427
of 7,339 outputs
Outputs of similar age
#219,120
of 351,414 outputs
Outputs of similar age from BMC Bioinformatics
#111
of 164 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 351,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.