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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Challenges and emerging directions in single-cell analysis
|
|---|---|
| Published in |
Genome Biology, May 2017
|
| DOI | 10.1186/s13059-017-1218-y |
| Pubmed ID | |
| Authors |
Guo-Cheng Yuan, Long Cai, Michael Elowitz, Tariq Enver, Guoping Fan, Guoji Guo, Rafael Irizarry, Peter Kharchenko, Junhyong Kim, Stuart Orkin, John Quackenbush, Assieh Saadatpour, Timm Schroeder, Ramesh Shivdasani, Itay Tirosh |
| Abstract |
Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| United Kingdom | 2 | 18% |
| Spain | 1 | 9% |
| Canada | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 641 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Unknown | 637 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 153 | 24% |
| Researcher | 110 | 17% |
| Student > Bachelor | 61 | 10% |
| Student > Master | 48 | 7% |
| Student > Postgraduate | 32 | 5% |
| Other | 98 | 15% |
| Unknown | 139 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 190 | 30% |
| Agricultural and Biological Sciences | 116 | 18% |
| Engineering | 36 | 6% |
| Computer Science | 28 | 4% |
| Medicine and Dentistry | 24 | 4% |
| Other | 86 | 13% |
| Unknown | 161 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 September 2018.
All research outputs
#5,407,105
of 25,382,440 outputs
Outputs from Genome Biology
#2,909
of 4,468 outputs
Outputs of similar age
#87,280
of 324,786 outputs
Outputs of similar age from Genome Biology
#59
of 68 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 324,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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 is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.