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Mendeley readers
Attention Score in Context
| Chapter title |
Super High Resolution for Single Molecule-Sequence-Based Typing of Classical HLA Loci Using Ion Torrent PGM
|
|---|---|
| Chapter number | 8 |
| Book title |
HLA Typing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8546-3_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8545-6, 978-1-4939-8546-3
|
| Authors |
Takashi Shiina, Shingo Suzuki, Jerzy K. Kulski, Hidetoshi Inoko, Shiina, Takashi, Suzuki, Shingo, Kulski, Jerzy K., Inoko, Hidetoshi |
| Abstract |
Super high resolution-single molecule-sequence-based typing (SS-SBT) is an HLA DNA typing method to the field 4 level of allelic resolution (formerly known as 8-digit typing) to efficiently detect novel and null alleles without phase ambiguity by combination of long ranged PCR amplification and next-generation sequencing (NGS) technologies. In this chapter, we describe three basic steps, long ranged PCR, NGS, and allele assignment. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Other | 1 | 17% |
| Lecturer > Senior Lecturer | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Agricultural and Biological Sciences | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 2 | 33% |
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 July 2018.
All research outputs
#15,533,651
of 23,085,832 outputs
Outputs from Methods in molecular biology
#5,410
of 13,205 outputs
Outputs of similar age
#270,117
of 442,628 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,205 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.