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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Type 1 Diabetes High-Risk HLA Class II Determination by Polymerase Chain Reaction Sequence-Specific Primers.
|
|---|---|
| Chapter number | 307 |
| Book title |
Type-1 Diabetes
|
| Published in |
Methods in molecular biology, December 2015
|
| DOI | 10.1007/7651_2015_307 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3641-0, 978-1-4939-3643-4
|
| Authors |
Rachel J. Aitken, Georgina L. Mortimer, Kathleen M. Gillespie |
| Editors |
Kathleen M. Gillespie |
| Abstract |
The only strategy to select individuals at increased risk for type 1 diabetes for primary prevention trials is through genetic risk assessment. While genome-wide association studies have identified more than 40 loci associated with type 1 diabetes, the single most important genetic determinants lie within the human leucocyte antigen gene family on chromosome 6.In this chapter we describe a protocol for a straightforward, cheap strategy to determine HLA class II mediated risk of type 1 diabetes. This method has proved robust for genotyping whole-genome-amplified DNA as well as DNA extracted directly from human tissues. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
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 06 November 2017.
All research outputs
#17,818,042
of 22,890,496 outputs
Outputs from Methods in molecular biology
#7,243
of 13,134 outputs
Outputs of similar age
#264,668
of 389,316 outputs
Outputs of similar age from Methods in molecular biology
#751
of 1,468 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,468 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.