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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design and computational analysis of single-cell RNA-sequencing experiments
|
|---|---|
| Published in |
Genome Biology, April 2016
|
| DOI | 10.1186/s13059-016-0927-y |
| Pubmed ID | |
| Authors |
Rhonda Bacher, Christina Kendziorski |
| Abstract |
Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows us to address scientific questions that eluded examination just a few years ago. With the advantages of scRNA-seq come computational challenges that are just beginning to be addressed. In this article, we highlight the computational methods available for the design and analysis of scRNA-seq experiments, their advantages and disadvantages in various settings, the open questions for which novel methods are needed, and expected future developments in this exciting area. |
X Demographics
The data shown below were collected from the profiles of 70 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 | 20 | 29% |
| United Kingdom | 8 | 11% |
| Germany | 3 | 4% |
| Italy | 2 | 3% |
| Belgium | 2 | 3% |
| Australia | 2 | 3% |
| France | 2 | 3% |
| Greece | 1 | 1% |
| Switzerland | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 22 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 57% |
| Members of the public | 29 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,302 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | <1% |
| United Kingdom | 4 | <1% |
| Germany | 3 | <1% |
| Italy | 2 | <1% |
| Brazil | 2 | <1% |
| Denmark | 2 | <1% |
| Japan | 2 | <1% |
| Spain | 2 | <1% |
| Sweden | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 1265 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 330 | 25% |
| Researcher | 312 | 24% |
| Student > Bachelor | 123 | 9% |
| Student > Master | 115 | 9% |
| Student > Postgraduate | 60 | 5% |
| Other | 175 | 13% |
| Unknown | 187 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 375 | 29% |
| Agricultural and Biological Sciences | 365 | 28% |
| Medicine and Dentistry | 77 | 6% |
| Computer Science | 76 | 6% |
| Neuroscience | 40 | 3% |
| Other | 161 | 12% |
| Unknown | 208 | 16% |
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 16 July 2019.
All research outputs
#699,436
of 25,405,598 outputs
Outputs from Genome Biology
#453
of 4,471 outputs
Outputs of similar age
#12,599
of 315,565 outputs
Outputs of similar age from Genome Biology
#8
of 77 outputs
Altmetric has tracked 25,405,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,471 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 315,565 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 77 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 90% of its contemporaries.