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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single Cell Multi-Omics Technology: Methodology and Application
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, April 2018
|
| DOI | 10.3389/fcell.2018.00028 |
| Pubmed ID | |
| Authors |
Youjin Hu, Qin An, Katherine Sheu, Brandon Trejo, Shuxin Fan, Ying Guo |
| Abstract |
In the era of precision medicine, multi-omics approaches enable the integration of data from diverse omics platforms, providing multi-faceted insight into the interrelation of these omics layers on disease processes. Single cell sequencing technology can dissect the genotypic and phenotypic heterogeneity of bulk tissue and promises to deepen our understanding of the underlying mechanisms governing both health and disease. Through modification and combination of single cell assays available for transcriptome, genome, epigenome, and proteome profiling, single cell multi-omics approaches have been developed to simultaneously and comprehensively study not only the unique genotypic and phenotypic characteristics of single cells, but also the combined regulatory mechanisms evident only at single cell resolution. In this review, we summarize the state-of-the-art single cell multi-omics methods and discuss their applications, challenges, and future directions. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 13% |
| United States | 1 | 13% |
| Austria | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 423 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 21% |
| Researcher | 69 | 16% |
| Student > Master | 45 | 11% |
| Student > Bachelor | 37 | 9% |
| Student > Doctoral Student | 18 | 4% |
| Other | 54 | 13% |
| Unknown | 112 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 138 | 33% |
| Agricultural and Biological Sciences | 45 | 11% |
| Computer Science | 26 | 6% |
| Engineering | 14 | 3% |
| Medicine and Dentistry | 13 | 3% |
| Other | 62 | 15% |
| Unknown | 125 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 01 November 2023.
All research outputs
#2,508,142
of 25,808,886 outputs
Outputs from Frontiers in Cell and Developmental Biology
#434
of 10,582 outputs
Outputs of similar age
#50,229
of 341,704 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#3
of 34 outputs
Altmetric has tracked 25,808,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,582 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 341,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 34 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 91% of its contemporaries.