| Title |
Strongly enhanced colorectal cancer risk stratification by combining family history and genetic risk score
|
|---|---|
| Published in |
Clinical Epidemiology, January 2018
|
| DOI | 10.2147/clep.s145636 |
| Pubmed ID | |
| Authors |
Korbinian Weigl, Jenny Chang-Claude, Phillip Knebel, Li Hsu, Michael Hoffmeister, Hermann Brenner |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 6 | 14% |
| Researcher | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 37% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Engineering | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 05 March 2018.
All research outputs
#683,673
of 26,017,215 outputs
Outputs from Clinical Epidemiology
#29
of 814 outputs
Outputs of similar age
#15,565
of 455,808 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 95% 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 455,808 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 96% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.