| Title |
An enhanced genetic model of colorectal cancer progression history
|
|---|---|
| Published in |
Genome Biology, August 2019
|
| DOI | 10.1186/s13059-019-1782-4 |
| Pubmed ID | |
| Authors |
Lixing Yang, Su Wang, Jake June-Koo Lee, Semin Lee, Eunjung Lee, Eve Shinbrot, David A. Wheeler, Raju Kucherlapati, Peter J. Park |
X Demographics
The data shown below were collected from the profiles of 27 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 | 14 | 52% |
| United Kingdom | 2 | 7% |
| India | 1 | 4% |
| Australia | 1 | 4% |
| Netherlands | 1 | 4% |
| China | 1 | 4% |
| Hong Kong | 1 | 4% |
| Austria | 1 | 4% |
| Unknown | 5 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 48% |
| Scientists | 12 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 23% |
| Researcher | 20 | 22% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 6 | 7% |
| Other | 14 | 15% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 34% |
| Medicine and Dentistry | 14 | 15% |
| Agricultural and Biological Sciences | 11 | 12% |
| Immunology and Microbiology | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 17 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 06 September 2019.
All research outputs
#1,720,568
of 25,385,509 outputs
Outputs from Genome Biology
#1,417
of 4,470 outputs
Outputs of similar age
#35,511
of 352,823 outputs
Outputs of similar age from Genome Biology
#31
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 68% 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 352,823 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.