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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Multiplexed digital gene expression analysis for genetical genomics in large plant populations.
|
|---|---|
| Chapter number | 9 |
| Book title |
Plant Genotyping
|
| Published in |
Methods in molecular biology, November 2014
|
| DOI | 10.1007/978-1-4939-1966-6_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1965-9, 978-1-4939-1966-6
|
| Authors |
Obermeier C, Salazar-Colqui BM, Spamer V, Snowdon R, Christian Obermeier, Bertha M. Salazar-Colqui, Viola Spamer, Rod Snowdon, Obermeier, Christian, Salazar-Colqui, Bertha M., Spamer, Viola, Snowdon, Rod |
| Abstract |
Digital gene expression (DGE) analysis is a cost-effective method for large-scale quantitative transcriptome analysis using second generation sequencing. Here we describe how adaptation of DGE with barcode indexing in large segregating plant populations of over 100 genotypes can be applied for successful expression QTL (eQTL) and gene expression network analysis to develop transcript-based markers for breeding. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 50% |
| Student > Ph. D. Student | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 100% |
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 23 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from Methods in molecular biology
#9,869
of 13,093 outputs
Outputs of similar age
#219,722
of 263,188 outputs
Outputs of similar age from Methods in molecular biology
#109
of 145 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,093 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.