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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Genome-Wide Copy Number Alteration Detection in Preimplantation Genetic Diagnosis
|
|---|---|
| Chapter number | 3 |
| Book title |
Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7514-3_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
| Authors |
Lieselot Deleye, Dieter De Coninck, Dieter Deforce, Filip Van Nieuwerburgh |
| Abstract |
Shallow whole genome sequencing has recently been introduced for genome-wide detection of chromosomal copy number alterations (CNAs) in preimplantation genetic diagnosis (PGD), using only 4-7 trophectoderm cells biopsied from day-5 embryos. This chapter describes the complete method, starting from whole genome amplification (WGA) on isolated blastomere(s), up to data analysis for CNA detection. The process is described generically and can also be used to perform CNA analysis on a limited number of cells (down to a single cell) in other applications. This unique description also includes some tips and tricks to increase the chance of success. |
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 % |
|---|---|---|
| Austria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Unknown | 2 | 50% |
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 11 December 2017.
All research outputs
#18,578,649
of 23,011,300 outputs
Outputs from Methods in molecular biology
#7,962
of 13,157 outputs
Outputs of similar age
#330,510
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 442,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.