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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Single-Cell Protein Assays: A Review
|
|---|---|
| Chapter number | 17 |
| Book title |
Computational Systems Biology
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7717-8_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7716-1, 978-1-4939-7717-8
|
| Authors |
Fan, Beiyuan, Wang, Junbo, Xu, Ying, Chen, Jian, Beiyuan Fan, Junbo Wang, Ying Xu, Jian Chen |
| Abstract |
Quantification of single-cell proteomics provides key insights in the field of cellular heterogeneity. This chapter discusses the emerging techniques that are being used to measure the protein copy numbers at the single-cell level, which includes flow cytometry, mass cytometry, droplet cytometry, microengraving, and single-cell barcoding microchip. The advantages and limitations of each technique are compared, and future research opportunities are highlighted. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 2 | 11% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Engineering | 3 | 17% |
| Agricultural and Biological Sciences | 2 | 11% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 March 2018.
All research outputs
#17,933,348
of 23,026,672 outputs
Outputs from Methods in molecular biology
#7,296
of 13,170 outputs
Outputs of similar age
#310,406
of 442,370 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 442,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.