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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification of low quality cells from single-cell RNA-seq data
|
|---|---|
| Published in |
Genome Biology, February 2016
|
| DOI | 10.1186/s13059-016-0888-1 |
| Pubmed ID | |
| Authors |
Tomislav Ilicic, Jong Kyoung Kim, Aleksandra A. Kolodziejczyk, Frederik Otzen Bagger, Davis James McCarthy, John C. Marioni, Sarah A. Teichmann |
| Abstract |
Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic approach for processing scRNA-seq data and detecting low quality cells, using a curated set of over 20 biological and technical features. Our approach improves classification accuracy by over 30 % compared to traditional methods when tested on over 5,000 cells, including CD4+ T cells, bone marrow dendritic cells, and mouse embryonic stem cells. |
X Demographics
The data shown below were collected from the profiles of 39 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 | 8 | 21% |
| United States | 5 | 13% |
| Japan | 2 | 5% |
| Sweden | 1 | 3% |
| India | 1 | 3% |
| Taiwan | 1 | 3% |
| Guinea | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 16 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 56% |
| Members of the public | 13 | 33% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | <1% |
| Japan | 3 | <1% |
| Sweden | 2 | <1% |
| United States | 2 | <1% |
| Denmark | 2 | <1% |
| Egypt | 1 | <1% |
| Spain | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 1164 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 286 | 24% |
| Researcher | 218 | 18% |
| Student > Master | 131 | 11% |
| Student > Bachelor | 125 | 11% |
| Student > Doctoral Student | 61 | 5% |
| Other | 125 | 11% |
| Unknown | 237 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 346 | 29% |
| Agricultural and Biological Sciences | 254 | 21% |
| Neuroscience | 64 | 5% |
| Immunology and Microbiology | 58 | 5% |
| Medicine and Dentistry | 57 | 5% |
| Other | 137 | 12% |
| Unknown | 267 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 04 May 2023.
All research outputs
#713,274
of 25,837,817 outputs
Outputs from Genome Biology
#456
of 4,506 outputs
Outputs of similar age
#12,128
of 313,220 outputs
Outputs of similar age from Genome Biology
#9
of 61 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 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 89% 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 313,220 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 96% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.