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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
|
|---|---|
| Published in |
Genome Biology, December 2015
|
| DOI | 10.1186/s13059-015-0844-5 |
| Pubmed ID | |
| Authors |
Greg Finak, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K. Shalek, Chloe K. Slichter, Hannah W. Miller, M. Juliana McElrath, Martin Prlic, Peter S. Linsley, Raphael Gottardo |
| Abstract |
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable. We propose a two-part, generalized linear model for such bimodal data that parameterizes both of these features. We argue that the cellular detection rate, the fraction of genes expressed in a cell, should be adjusted for as a source of nuisance variation. Our model provides gene set enrichment analysis tailored to single-cell data. It provides insights into how networks of co-expressed genes evolve across an experimental treatment. MAST is available at https://github.com/RGLab/MAST . |
X Demographics
The data shown below were collected from the profiles of 65 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 | 21 | 32% |
| United Kingdom | 6 | 9% |
| Canada | 4 | 6% |
| Australia | 4 | 6% |
| Spain | 3 | 5% |
| Austria | 1 | 2% |
| Belgium | 1 | 2% |
| Bosnia and Herzegovina | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 19 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 51% |
| Scientists | 31 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,525 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| Germany | 3 | <1% |
| Sweden | 3 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Japan | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 1509 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 391 | 26% |
| Researcher | 265 | 17% |
| Student > Master | 144 | 9% |
| Student > Bachelor | 115 | 8% |
| Student > Doctoral Student | 63 | 4% |
| Other | 210 | 14% |
| Unknown | 337 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 396 | 26% |
| Agricultural and Biological Sciences | 265 | 17% |
| Medicine and Dentistry | 90 | 6% |
| Neuroscience | 77 | 5% |
| Computer Science | 74 | 5% |
| Other | 241 | 16% |
| Unknown | 382 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 106. 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 09 January 2024.
All research outputs
#403,980
of 25,706,302 outputs
Outputs from Genome Biology
#208
of 4,504 outputs
Outputs of similar age
#6,498
of 396,766 outputs
Outputs of similar age from Genome Biology
#9
of 72 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 particularly well, scoring higher than 95% 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 396,766 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 98% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.