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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data
|
|---|---|
| Published in |
Genome Biology, May 2016
|
| DOI | 10.1186/s13059-016-0975-3 |
| Pubmed ID | |
| Authors |
Joshua D. Welch, Alexander J. Hartemink, Jan F. Prins |
| Abstract |
Single cell experiments provide an unprecedented opportunity to reconstruct a sequence of changes in a biological process from individual "snapshots" of cells. However, nonlinear gene expression changes, genes unrelated to the process, and the possibility of branching trajectories make this a challenging problem. We develop SLICER (Selective Locally Linear Inference of Cellular Expression Relationships) to address these challenges. SLICER can infer highly nonlinear trajectories, select genes without prior knowledge of the process, and automatically determine the location and number of branches and loops. SLICER recovers the ordering of points along simulated trajectories more accurately than existing methods. We demonstrate the effectiveness of SLICER on previously published data from mouse lung cells and neural stem cells. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 6 | 40% |
| United Kingdom | 2 | 13% |
| Australia | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 256 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 27% |
| Researcher | 67 | 26% |
| Student > Master | 23 | 9% |
| Student > Bachelor | 22 | 8% |
| Professor | 11 | 4% |
| Other | 33 | 13% |
| Unknown | 35 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 30% |
| Biochemistry, Genetics and Molecular Biology | 60 | 23% |
| Computer Science | 27 | 10% |
| Medicine and Dentistry | 9 | 3% |
| Immunology and Microbiology | 7 | 3% |
| Other | 34 | 13% |
| Unknown | 46 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 07 February 2019.
All research outputs
#1,620,573
of 25,394,764 outputs
Outputs from Genome Biology
#1,319
of 4,470 outputs
Outputs of similar age
#28,508
of 348,659 outputs
Outputs of similar age from Genome Biology
#29
of 80 outputs
Altmetric has tracked 25,394,764 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 70% 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 348,659 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 91% of its contemporaries.
We're also able to compare this research output to 80 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 63% of its contemporaries.