| Title |
Thirty biologically interpretable clusters of transcription factors distinguish cancer type
|
|---|---|
| Published in |
BMC Genomics, October 2018
|
| DOI | 10.1186/s12864-018-5093-z |
| Pubmed ID | |
| Authors |
Zachary B. Abrams, Mark Zucker, Min Wang, Amir Asiaee Taheri, Lynne V. Abruzzo, Kevin R. Coombes |
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 | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Student > Master | 3 | 21% |
| Student > Bachelor | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Agricultural and Biological Sciences | 3 | 21% |
| Computer Science | 2 | 14% |
| Nursing and Health Professions | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 October 2018.
All research outputs
#17,992,232
of 23,106,390 outputs
Outputs from BMC Genomics
#7,609
of 10,709 outputs
Outputs of similar age
#247,154
of 346,144 outputs
Outputs of similar age from BMC Genomics
#105
of 179 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 346,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.