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Mouse Oocyte Development

Overview of attention for book
Attention for Chapter 6: Profiling Maternal mRNA Translation During Oocyte Development
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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5 X users

Citations

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4 Dimensions

Readers on

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17 Mendeley
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Chapter title
Profiling Maternal mRNA Translation During Oocyte Development
Chapter number 6
Book title
Mouse Oocyte Development
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8603-3_6
Pubmed ID
Book ISBNs
978-1-4939-8602-6, 978-1-4939-8603-3
Authors

Joao P. Sousa Martins, Marco Conti, Martins, Joao P. Sousa, Conti, Marco

Abstract

With the progress in our understanding of germ cell development, there is an emerging need to investigate the mechanisms of mRNA translation functioning in these cells. Indeed, posttranscriptional regulations of gene expression drive the most important transitions of the germ cell life cycle. Here we describe a strategy to measure mRNA translation in the oocyte, taking advantage of an approach originally developed to identify the transcriptome of a subgroup of cells in a complex cell mixture. This technique takes advantage of the "RiboTag" approach to express an HA-tag on the large ribosomal subunit of the ribosomes in the oocyte. Immunoprecipitation of the extracts followed by qPCR or RNAseq is used to identify mRNAs actively translated.

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The data shown below were collected from the profiles of 5 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 24%
Student > Ph. D. Student 3 18%
Other 2 12%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Agricultural and Biological Sciences 4 24%
Medicine and Dentistry 2 12%
Neuroscience 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#7,571,909
of 23,094,276 outputs
Outputs from Methods in molecular biology
#2,349
of 13,207 outputs
Outputs of similar age
#153,835
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#230
of 1,499 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 442,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
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 has done well, scoring higher than 83% of its contemporaries.