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 |
Genotype-free demultiplexing of pooled single-cell RNA-seq
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1852-7 |
| Pubmed ID | |
| Authors |
Jun Xu, Caitlin Falconer, Quan Nguyen, Joanna Crawford, Brett D. McKinnon, Sally Mortlock, Anne Senabouth, Stacey Andersen, Han Sheng Chiu, Longda Jiang, Nathan J. Palpant, Jian Yang, Michael D. Mueller, Alex W. Hewitt, Alice Pébay, Grant W. Montgomery, Joseph E. Powell, Lachlan J.M Coin |
| Abstract |
A variety of methods have been developed to demultiplex pooled samples in a single cell RNA sequencing (scRNA-seq) experiment which either require hashtag barcodes or sample genotypes prior to pooling. We introduce scSplit which utilizes genetic differences inferred from scRNA-seq data alone to demultiplex pooled samples. scSplit also enables mapping clusters to original samples. Using simulated, merged, and pooled multi-individual datasets, we show that scSplit prediction is highly concordant with demuxlet predictions and is highly consistent with the known truth in cell-hashing dataset. scSplit is ideally suited to samples without external genotype information and is available at: https://github.com/jon-xu/scSplit. |
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 % |
|---|---|---|
| Australia | 13 | 35% |
| United States | 7 | 19% |
| United Kingdom | 3 | 8% |
| Germany | 3 | 8% |
| China | 2 | 5% |
| France | 2 | 5% |
| New Zealand | 1 | 3% |
| Unknown | 6 | 16% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 54% |
| Members of the public | 16 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 23% |
| Student > Ph. D. Student | 31 | 19% |
| Student > Master | 14 | 8% |
| Student > Bachelor | 11 | 7% |
| Professor | 6 | 4% |
| Other | 16 | 10% |
| Unknown | 49 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 26% |
| Agricultural and Biological Sciences | 26 | 16% |
| Medicine and Dentistry | 11 | 7% |
| Immunology and Microbiology | 11 | 7% |
| Computer Science | 8 | 5% |
| Other | 17 | 10% |
| Unknown | 49 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 14 December 2023.
All research outputs
#1,599,123
of 25,807,758 outputs
Outputs from Genome Biology
#1,286
of 4,520 outputs
Outputs of similar age
#38,330
of 481,554 outputs
Outputs of similar age from Genome Biology
#47
of 90 outputs
Altmetric has tracked 25,807,758 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 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has gotten more attention than average, scoring higher than 71% 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 481,554 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 90 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.