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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
|
|---|---|
| Published in |
Genome Biology, July 2016
|
| DOI | 10.1186/s13059-016-1010-4 |
| Pubmed ID | |
| Authors |
Lan Jiang, Huidong Chen, Luca Pinello, Guo-Cheng Yuan |
| Abstract |
High-throughput single-cell technologies have great potential to discover new cell types; however, it remains challenging to detect rare cell types that are distinct from a large population. We present a novel computational method, called GiniClust, to overcome this challenge. Validation against a benchmark dataset indicates that GiniClust achieves high sensitivity and specificity. Application of GiniClust to public single-cell RNA-seq datasets uncovers previously unrecognized rare cell types, including Zscan4-expressing cells within mouse embryonic stem cells and hemoglobin-expressing cells in the mouse cortex and hippocampus. GiniClust also correctly detects a small number of normal cells that are mixed in a cancer cell population. |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 4 | 20% |
| United States | 3 | 15% |
| Belgium | 1 | 5% |
| Brazil | 1 | 5% |
| South Africa | 1 | 5% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 60% |
| Members of the public | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Japan | 2 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 286 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 24% |
| Researcher | 50 | 17% |
| Student > Bachelor | 26 | 9% |
| Student > Postgraduate | 20 | 7% |
| Student > Master | 20 | 7% |
| Other | 48 | 16% |
| Unknown | 61 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 78 | 26% |
| Agricultural and Biological Sciences | 75 | 25% |
| Computer Science | 35 | 12% |
| Engineering | 8 | 3% |
| Neuroscience | 7 | 2% |
| Other | 27 | 9% |
| Unknown | 65 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 17 January 2020.
All research outputs
#1,937,206
of 25,373,627 outputs
Outputs from Genome Biology
#1,626
of 4,467 outputs
Outputs of similar age
#34,433
of 367,266 outputs
Outputs of similar age from Genome Biology
#24
of 64 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 63% 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 367,266 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 90% of its contemporaries.
We're also able to compare this research output to 64 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 62% of its contemporaries.