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Mendeley readers
Attention Score in Context
| Chapter title |
Short Read Mapping for Exome Sequencing
|
|---|---|
| Chapter number | 6 |
| Book title |
Deep Sequencing Data Analysis
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-514-9_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-513-2, 978-1-62703-514-9
|
| Authors |
Xueya Zhou, Suying Bao, Binbin Wang, Xuegong Zhang, You-Qiang Song, Zhou, Xueya, Bao, Suying, Wang, Binbin, Zhang, Xuegong, Song, You-Qiang |
| Abstract |
Mapping short reads to the reference genome is very often the prerequisite for applications utilizing the next-generation sequencing technologies. A dozen of software tools developed for this purpose have been widely used. But many practical issues remained when utilizing them to build a computational pipeline for downstream analyses. In this chapter, we describe the read mapping procedures adopted in our lab for the exome sequencing studies as an example to illustrate those practical details. |
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 % |
|---|---|---|
| Scientists | 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 % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 50% |
| Student > Ph. D. Student | 1 | 25% |
| Other | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 75% |
| Medicine and Dentistry | 1 | 25% |
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 24 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Methods in molecular biology
#7,852
of 13,079 outputs
Outputs of similar age
#218,044
of 280,752 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.