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Sequencing-based large-scale genomics approaches with small numbers of isolated maize meiocytes

Overview of attention for article published in Frontiers in Plant Science, January 2014
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Sequencing-based large-scale genomics approaches with small numbers of isolated maize meiocytes
Published in
Frontiers in Plant Science, January 2014
DOI 10.3389/fpls.2014.00057
Pubmed ID
Authors

Stefanie Dukowic-Schulze, Anitha Sundararajan, Thiruvarangan Ramaraj, Joann Mudge, Changbin Chen

Abstract

High-throughput sequencing has become the large-scale approach of choice to study global gene expression and the distribution of specific chromatin marks and features. However, the limited availability of large amounts of purified cells made it very challenging to apply sequencing-based techniques in plant meiosis research in the past. In this paper, we describe a method to isolate meiocytes from maize anthers and detailed protocols to successfully perform RNA-seq, smRNA-seq, H3K4me3-ChIP-seq, and DNA bisulfite conversion sequencing with 5000-30,000 isolated maize male meiotic cells. These methods can be adjusted for other flowering plant species as well.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Mexico 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 9 22%
Student > Doctoral Student 4 10%
Student > Bachelor 3 7%
Other 3 7%
Other 6 15%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 66%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 5 12%
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 14 March 2014.
All research outputs
#12,894,736
of 22,745,803 outputs
Outputs from Frontiers in Plant Science
#5,570
of 20,035 outputs
Outputs of similar age
#156,692
of 305,224 outputs
Outputs of similar age from Frontiers in Plant Science
#16
of 86 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,035 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 305,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.