| Title |
Can Cost-effectiveness Analysis Inform Genotype-Guided Aspirin Use for Primary Colorectal Cancer Prevention?
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, April 2021
|
| DOI | 10.1158/1055-9965.epi-19-1580 |
| Pubmed ID | |
| Authors |
Eman Biltaji, Brandon Walker, Trang H. Au, Zachary Rivers, Jennifer Ose, Christopher I. Li, Diana I. Brixner, David D. Stenehjem, Cornelia M. Ulrich |
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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Student > Bachelor | 4 | 16% |
| Student > Postgraduate | 2 | 8% |
| Researcher | 2 | 8% |
| Librarian | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 32% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
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 16 June 2021.
All research outputs
#16,795,718
of 25,477,125 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#3,282
of 4,852 outputs
Outputs of similar age
#268,665
of 455,762 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#56
of 78 outputs
Altmetric has tracked 25,477,125 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 4,852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one is in the 30th percentile – i.e., 30% 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 455,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.