↓ Skip to main content

New Array Approaches to Explore Single Cells Genomes

Overview of attention for article published in Frontiers in Genetics, January 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
48 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
New Array Approaches to Explore Single Cells Genomes
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00044
Pubmed ID
Authors

Evelyne Vanneste, Lilach Bittman, Niels Van der Aa, Thierry Voet, Joris Robert Vermeesch

Abstract

Microarray analysis enables the genome-wide detection of copy number variations and the investigation of chromosomal instability. Whereas array techniques have been well established for the analysis of unamplified DNA derived from many cells, it has been more challenging to enable the accurate analysis of single cell genomes. In this review, we provide an overview of single cell DNA amplification techniques, the different array approaches, and discuss their potential applications to study human embryos.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Australia 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Master 6 13%
Student > Ph. D. Student 5 10%
Other 5 10%
Professor 4 8%
Other 10 21%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 46%
Biochemistry, Genetics and Molecular Biology 12 25%
Medicine and Dentistry 5 10%
Engineering 2 4%
Computer Science 1 2%
Other 1 2%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 March 2012.
All research outputs
#14,150,222
of 22,675,759 outputs
Outputs from Frontiers in Genetics
#3,888
of 11,737 outputs
Outputs of similar age
#153,445
of 244,088 outputs
Outputs of similar age from Frontiers in Genetics
#116
of 255 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,737 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.