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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SCALE: modeling allele-specific gene expression by single-cell RNA sequencing
|
|---|---|
| Published in |
Genome Biology, April 2017
|
| DOI | 10.1186/s13059-017-1200-8 |
| Pubmed ID | |
| Authors |
Yuchao Jiang, Nancy R. Zhang, Mingyao Li |
| Abstract |
Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing allows the comparison of expression distribution between the two alleles of a diploid organism and the characterization of allele-specific bursting. Here, we propose SCALE to analyze genome-wide allele-specific bursting, with adjustment of technical variability. SCALE detects genes exhibiting allelic differences in bursting parameters and genes whose alleles burst non-independently. We apply SCALE to mouse blastocyst and human fibroblast cells and find that cis control in gene expression overwhelmingly manifests as differences in burst frequency. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 11 | 50% |
| United Kingdom | 2 | 9% |
| Italy | 1 | 5% |
| Germany | 1 | 5% |
| France | 1 | 5% |
| South Africa | 1 | 5% |
| Switzerland | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 3 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 64% |
| Members of the public | 7 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 197 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 22% |
| Researcher | 30 | 15% |
| Student > Master | 21 | 11% |
| Student > Bachelor | 21 | 11% |
| Student > Doctoral Student | 10 | 5% |
| Other | 27 | 14% |
| Unknown | 45 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 71 | 36% |
| Agricultural and Biological Sciences | 35 | 18% |
| Computer Science | 12 | 6% |
| Medicine and Dentistry | 10 | 5% |
| Mathematics | 7 | 4% |
| Other | 15 | 8% |
| Unknown | 48 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 01 June 2023.
All research outputs
#2,253,605
of 25,382,440 outputs
Outputs from Genome Biology
#1,860
of 4,468 outputs
Outputs of similar age
#41,223
of 323,575 outputs
Outputs of similar age from Genome Biology
#36
of 54 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 91st percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 58% 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 323,575 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 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.