You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data
|
|---|---|
| Published in |
Genome Biology, July 2013
|
| DOI | 10.1186/gb-2013-14-7-r80 |
| Pubmed ID | |
| Authors |
Layla Oesper, Ahmad Mahmoody, Benjamin J Raphael |
| Abstract |
Tumor samples are typically heterogeneous, containing admixture by normal, non-cancerous cells and one or more subpopulations of cancerous cells. Whole-genome sequencing of a tumor sample yields reads from this mixture, but does not directly reveal the cell of origin for each read. We introduce THetA (Tumor Heterogeneity Analysis), an algorithm that infers the most likely collection of genomes and their proportions in a sample, for the case where copy number aberrations distinguish subpopulations. THetA successfully estimates normal admixture and recovers clonal and subclonal copy number aberrations in real and simulated sequencing data. THetA is available at http://compbio.cs.brown.edu/software/. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Brazil | 1 | 11% |
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Israel | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 5% |
| Germany | 3 | 1% |
| Belgium | 2 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 233 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 27% |
| Researcher | 69 | 27% |
| Student > Master | 21 | 8% |
| Student > Bachelor | 20 | 8% |
| Professor | 11 | 4% |
| Other | 31 | 12% |
| Unknown | 34 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 37% |
| Biochemistry, Genetics and Molecular Biology | 50 | 20% |
| Computer Science | 36 | 14% |
| Medicine and Dentistry | 13 | 5% |
| Mathematics | 5 | 2% |
| Other | 17 | 7% |
| Unknown | 40 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 January 2021.
All research outputs
#5,166,477
of 25,374,917 outputs
Outputs from Genome Biology
#2,836
of 4,467 outputs
Outputs of similar age
#41,816
of 209,995 outputs
Outputs of similar age from Genome Biology
#34
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 36th percentile – i.e., 36% 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 209,995 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 79% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.