| Title |
Single cell sequencing: a distinct new field
|
|---|---|
| Published in |
Clinical and Translational Medicine, February 2017
|
| DOI | 10.1186/s40169-017-0139-4 |
| Pubmed ID | |
| Authors |
Jian Wang, Yuanlin Song |
| Abstract |
Single cell sequencing (SCS) has become a new approach to study biological heterogeneity. The advancement in technologies for single cell isolation, amplification of genome/transcriptome and next-generation sequencing enables SCS to reveal the inherent properties of a single cell from the large scale of the genome, transcriptome or epigenome at high resolution. Recently, SCS has been widely applied in various clinical and research fields, such as cancer biology and oncology, immunology, microbiology, neurobiology and prenatal diagnosis. In this review, we will discuss the development of SCS methods and focus on the latest clinical and research applications of SCS. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| New Zealand | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | <1% |
| Unknown | 206 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 20% |
| Student > Ph. D. Student | 34 | 16% |
| Student > Master | 34 | 16% |
| Other | 18 | 9% |
| Student > Bachelor | 16 | 8% |
| Other | 30 | 14% |
| Unknown | 33 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 56 | 27% |
| Agricultural and Biological Sciences | 42 | 20% |
| Medicine and Dentistry | 22 | 11% |
| Neuroscience | 11 | 5% |
| Engineering | 6 | 3% |
| Other | 25 | 12% |
| Unknown | 45 | 22% |
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 23 August 2023.
All research outputs
#5,242,603
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#229
of 1,060 outputs
Outputs of similar age
#87,249
of 323,273 outputs
Outputs of similar age from Clinical and Translational Medicine
#1
of 6 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 78% 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 323,273 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 72% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them