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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
|
|---|---|
| Published in |
Genome Biology, October 2016
|
| DOI | 10.1186/s13059-016-1077-y |
| Pubmed ID | |
| Authors |
Keegan D. Korthauer, Li-Fang Chu, Michael A. Newton, Yuan Li, James Thomson, Ron Stewart, Christina Kendziorski |
| Abstract |
The ability to quantify cellular heterogeneity is a major advantage of single-cell technologies. However, statistical methods often treat cellular heterogeneity as a nuisance. We present a novel method to characterize differences in expression in the presence of distinct expression states within and among biological conditions. We demonstrate that this framework can detect differential expression patterns under a wide range of settings. Compared to existing approaches, this method has higher power to detect subtle differences in gene expression distributions that are more complex than a mean shift, and can characterize those differences. The freely available R package scDD implements the approach. |
X Demographics
The data shown below were collected from the profiles of 42 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 | 14 | 33% |
| Australia | 4 | 10% |
| United Kingdom | 3 | 7% |
| France | 2 | 5% |
| India | 2 | 5% |
| Switzerland | 1 | 2% |
| Italy | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 55% |
| Members of the public | 19 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Taiwan | 1 | <1% |
| Sweden | 1 | <1% |
| Denmark | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 374 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 108 | 28% |
| Researcher | 66 | 17% |
| Student > Master | 37 | 10% |
| Student > Bachelor | 33 | 9% |
| Student > Doctoral Student | 15 | 4% |
| Other | 57 | 15% |
| Unknown | 68 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 102 | 27% |
| Agricultural and Biological Sciences | 91 | 24% |
| Computer Science | 26 | 7% |
| Mathematics | 21 | 5% |
| Medicine and Dentistry | 21 | 5% |
| Other | 46 | 12% |
| Unknown | 77 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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
#1,119,638
of 25,371,288 outputs
Outputs from Genome Biology
#827
of 4,467 outputs
Outputs of similar age
#20,742
of 320,772 outputs
Outputs of similar age from Genome Biology
#22
of 68 outputs
Altmetric has tracked 25,371,288 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 4,467 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 81% 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 320,772 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 93% of its contemporaries.
We're also able to compare this research output to 68 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 67% of its contemporaries.