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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models
|
|---|---|
| Published in |
Genome Biology, September 2017
|
| DOI | 10.1186/s13059-017-1311-2 |
| Pubmed ID | |
| Authors |
Hamim Zafar, Anthony Tzen, Nicholas Navin, Ken Chen, Luay Nakhleh |
| Abstract |
Single-cell sequencing enables the inference of tumor phylogenies that provide insights on intra-tumor heterogeneity and evolutionary trajectories. Recently introduced methods perform this task under the infinite-sites assumption, violations of which, due to chromosomal deletions and loss of heterozygosity, necessitate the development of inference methods that utilize finite-sites models. We propose a statistical inference method for tumor phylogenies from noisy single-cell sequencing data under a finite-sites model. The performance of our method on synthetic and experimental data sets from two colorectal cancer patients to trace evolutionary lineages in primary and metastatic tumors suggests that employing a finite-sites model leads to improved inference of tumor phylogenies. |
X Demographics
The data shown below were collected from the profiles of 37 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 | 12 | 32% |
| United Kingdom | 5 | 14% |
| France | 2 | 5% |
| Austria | 1 | 3% |
| China | 1 | 3% |
| India | 1 | 3% |
| Belgium | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 54% |
| Members of the public | 14 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 152 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 27% |
| Researcher | 30 | 20% |
| Student > Bachelor | 13 | 8% |
| Student > Master | 11 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 16 | 10% |
| Unknown | 34 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 25% |
| Biochemistry, Genetics and Molecular Biology | 36 | 24% |
| Computer Science | 26 | 17% |
| Mathematics | 5 | 3% |
| Engineering | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 38 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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
#1,157,813
of 25,382,440 outputs
Outputs from Genome Biology
#860
of 4,468 outputs
Outputs of similar age
#23,299
of 325,249 outputs
Outputs of similar age from Genome Biology
#21
of 61 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 done well, scoring higher than 80% 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 325,249 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 92% of its contemporaries.
We're also able to compare this research output to 61 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 65% of its contemporaries.