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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell sequencing in stem cell biology
|
|---|---|
| Published in |
Genome Biology, April 2016
|
| DOI | 10.1186/s13059-016-0941-0 |
| Pubmed ID | |
| Authors |
Lu Wen, Fuchou Tang |
| Abstract |
Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequencing technologies serve as powerful tools to dissect cellular heterogeneity comprehensively and to identify distinct phenotypic cell types, even within a 'homogeneous' stem cell population. These technologies, including single-cell genome, epigenome, and transcriptome sequencing technologies, have been developing rapidly in recent years. The application of these methods to different types of stem cells, including pluripotent stem cells and tissue-specific stem cells, has led to exciting new findings in the stem cell field. In this review, we discuss the recent progress as well as future perspectives in the methodologies and applications of single-cell omic sequencing technologies. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| Italy | 1 | 6% |
| Greece | 1 | 6% |
| India | 1 | 6% |
| United States | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 453 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 3 | <1% |
| Sweden | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Libya | 1 | <1% |
| Italy | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 436 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 20% |
| Researcher | 85 | 19% |
| Student > Bachelor | 50 | 11% |
| Student > Postgraduate | 46 | 10% |
| Student > Master | 40 | 9% |
| Other | 61 | 13% |
| Unknown | 82 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 148 | 33% |
| Agricultural and Biological Sciences | 111 | 25% |
| Medicine and Dentistry | 32 | 7% |
| Neuroscience | 14 | 3% |
| Engineering | 10 | 2% |
| Other | 40 | 9% |
| Unknown | 98 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 September 2021.
All research outputs
#1,552,933
of 25,706,302 outputs
Outputs from Genome Biology
#1,249
of 4,504 outputs
Outputs of similar age
#25,442
of 314,715 outputs
Outputs of similar age from Genome Biology
#28
of 77 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 gotten more attention than average, scoring higher than 72% 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 314,715 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 91% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.