| Title |
Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record
|
|---|---|
| Published in |
BMC Genomics, November 2019
|
| DOI | 10.1186/s12864-019-6192-1 |
| Pubmed ID | |
| Authors |
Jacob J. Hughey, Seth D. Rhoades, Darwin Y. Fu, Lisa Bastarache, Joshua C. Denny, Qingxia Chen |
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 | 1 | 33% |
| United States | 1 | 33% |
| France | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 6 | 15% |
| Professor > Associate Professor | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Agricultural and Biological Sciences | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 January 2020.
All research outputs
#15,057,261
of 23,172,045 outputs
Outputs from BMC Genomics
#6,174
of 10,714 outputs
Outputs of similar age
#214,086
of 364,567 outputs
Outputs of similar age from BMC Genomics
#99
of 191 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,714 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 364,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.