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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Library Construction for High-Throughput Mobile Element Identification and Genotyping.
|
|---|---|
| Chapter number | 265 |
| Book title |
Population Epigenetics
|
| Published in |
Methods in molecular biology, May 2015
|
| DOI | 10.1007/7651_2015_265 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6901-2, 978-1-4939-6903-6
|
| Authors |
Ha, Hongseok, Wang, Nan, Xing, Jinchuan, Hongseok Ha, Nan Wang, Jinchuan Xing |
| Abstract |
Mobile genetic elements are discrete DNA elements that can move around and copy themselves in a genome. As a ubiquitous component of the genome, mobile elements contribute to both genetic and epigenetic variation. Therefore, it is important to determine the genome-wide distribution of mobile elements. Here we present a targeted high-throughput sequencing protocol called Mobile Element Scanning (ME-Scan) for genome-wide mobile element detection. We will describe oligonucleotides design, sequencing library construction, and computational analysis for the ME-Scan protocol. |
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 % |
|---|---|---|
| France | 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 57% |
| Researcher | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 57% |
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Unknown | 1 | 14% |
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 31 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Methods in molecular biology
#9,906
of 13,118 outputs
Outputs of similar age
#223,290
of 267,111 outputs
Outputs of similar age from Methods in molecular biology
#19
of 24 outputs
Altmetric has tracked 22,807,037 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 13,118 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 24 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.