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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-Cell Transcriptomics Bioinformatics and Computational Challenges
|
|---|---|
| Published in |
Frontiers in Genetics, September 2016
|
| DOI | 10.3389/fgene.2016.00163 |
| Pubmed ID | |
| Authors |
Olivier B. Poirion, Xun Zhu, Travers Ching, Lana Garmire |
| Abstract |
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to revolutionize our understanding of diseases and associated biological processes at an unprecedented resolution. It opens the door to reveal intercellular heterogeneity and has been employed to a variety of applications, ranging from characterizing cancer cells subpopulations to elucidating tumor resistance mechanisms. Parallel to improving experimental protocols to deal with technological issues, deriving new analytical methods to interpret the complexity in scRNA-Seq data is just as challenging. Here, we review current state-of-the-art bioinformatics tools and methods for scRNA-Seq analysis, as well as addressing some critical analytical challenges that the field faces. |
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 | 5 | 23% |
| United Kingdom | 2 | 9% |
| Germany | 2 | 9% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Israel | 1 | 5% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Netherlands | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 68% |
| Members of the public | 7 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 476 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| France | 2 | <1% |
| Denmark | 2 | <1% |
| Czechia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 464 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 26% |
| Researcher | 95 | 20% |
| Student > Master | 64 | 13% |
| Student > Bachelor | 37 | 8% |
| Other | 24 | 5% |
| Other | 65 | 14% |
| Unknown | 69 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 141 | 30% |
| Agricultural and Biological Sciences | 117 | 25% |
| Computer Science | 31 | 7% |
| Immunology and Microbiology | 20 | 4% |
| Engineering | 19 | 4% |
| Other | 63 | 13% |
| Unknown | 85 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 26 October 2018.
All research outputs
#1,177,068
of 23,306,612 outputs
Outputs from Frontiers in Genetics
#209
of 12,325 outputs
Outputs of similar age
#22,850
of 322,080 outputs
Outputs of similar age from Frontiers in Genetics
#3
of 49 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,325 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 322,080 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 49 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.