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Attention Score in Context
Chapter title |
Gene Expression Analysis in Early Embryos Through Reverse Transcription Quantitative PCR (RT-qPCR)
|
---|---|
Chapter number | 14 |
Book title |
Nuclear Reprogramming
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-1594-1_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1593-4, 978-1-4939-1594-1
|
Authors |
Nathalie Peynot, Véronique Duranthon, Daulat Raheem Khan, Peynot, Nathalie, Duranthon, Véronique, Khan, Daulat Raheem |
Abstract |
Real-time, reverse transcription quantitative PCR (RT-qPCR) is a highly sensitive and reproducible technology for the analysis of gene expression patterns. Its ability to detect minute quantities of nucleic acid from multifarious sources makes it an ideal technique for embryonic transcript quantification. However, complex cellular diversity and active transcriptome dynamics in early embryos necessitate particular caution to avoid erroneous results. This chapter is intended to outline basic methodology to design and execute RT-qPCR experiments in pre-implantation embryos. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 38% |
Student > Master | 2 | 25% |
Professor > Associate Professor | 1 | 13% |
Student > Ph. D. Student | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 63% |
Biochemistry, Genetics and Molecular Biology | 1 | 13% |
Medicine and Dentistry | 1 | 13% |
Unknown | 1 | 13% |
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 20 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from Methods in molecular biology
#7,871
of 13,090 outputs
Outputs of similar age
#255,650
of 352,895 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,768,097 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 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. 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 352,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 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.