| Title |
Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data
|
|---|---|
| Published in |
Digestive Diseases and Sciences, August 2017
|
| DOI | 10.1007/s10620-017-4722-8 |
| Pubmed ID | |
| Authors |
Mark C. Hornbrook, Ran Goshen, Eran Choman, Maureen O’Keeffe-Rosetti, Yaron Kinar, Elizabeth G. Liles, Kristal C. Rust |
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% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 154 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 13% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Master | 14 | 9% |
| Student > Bachelor | 14 | 9% |
| Other | 12 | 8% |
| Other | 26 | 17% |
| Unknown | 52 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 29% |
| Computer Science | 13 | 8% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Agricultural and Biological Sciences | 4 | 3% |
| Nursing and Health Professions | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 61 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 393. 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 December 2019.
All research outputs
#69,731
of 23,854,458 outputs
Outputs from Digestive Diseases and Sciences
#4
of 4,304 outputs
Outputs of similar age
#1,768
of 319,849 outputs
Outputs of similar age from Digestive Diseases and Sciences
#1
of 47 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 99% 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 319,849 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 99% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.