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Mouse Oocyte Development

Overview of attention for book
Attention for Chapter 7: Transcriptome Profiling of Single Mouse Oocytes
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3 tweeters

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Chapter title
Transcriptome Profiling of Single Mouse Oocytes
Chapter number 7
Book title
Mouse Oocyte Development
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8603-3_7
Pubmed ID
Book ISBNs
978-1-4939-8602-6, 978-1-4939-8603-3
Authors

Maud Borensztein, Laurène Syx, Nicolas Servant, Edith Heard, Borensztein, Maud, Syx, Laurène, Servant, Nicolas, Heard, Edith

Abstract

Single-cell RNA-sequencing (scRNAseq) enables the detection and quantification of mature RNAs in an individual cell. Assessing single cell transcriptomes can circumvent the limited amount of starting material obtained in oocytes or embryos, in particular when working with mutant mice. Here we outline our scRNAseq protocol to study mouse oocyte transcriptomes, derived from Tang et al., Nat Methods 6(5):377-382, 2009 . The method describes the different steps from single cell isolation and cDNA amplification to high-throughput sequencing. The bioinformatics pipeline used to analyze and compare genome-wide gene expression between individual oocytes is then described.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Student > Master 3 21%
Researcher 2 14%
Student > Ph. D. Student 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 50%
Agricultural and Biological Sciences 3 21%
Chemistry 1 7%
Unknown 3 21%

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 02 July 2018.
All research outputs
#13,227,272
of 21,192,559 outputs
Outputs from Methods in molecular biology
#3,710
of 11,944 outputs
Outputs of similar age
#164,459
of 296,919 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 21,192,559 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 11,944 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 65% 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 296,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them