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Type-1 Diabetes

Overview of attention for book
Cover of 'Type-1 Diabetes'

Table of Contents

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    Book Overview
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    Chapter 286 Methylation Analysis in Distinct Immune Cell Subsets in Type 1 Diabetes.
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    Chapter 287 Histology of Type 1 Diabetes Pancreas.
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    Chapter 288 Fluorescence In Situ Hybridization with Concomitant Immunofluorescence in Human Pancreas.
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    Chapter 289 Type 1 Diabetes: Current Perspectives.
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    Chapter 290 Laser Capture and Single Cell Genotyping from Frozen Tissue Sections.
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    Chapter 291 Pancreatic Beta Cell Survival and Signaling Pathways: Effects of Type 1 Diabetes-Associated Genetic Variants.
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    Chapter 292 Islet Autoantibody Analysis: Radioimmunoassays.
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    Chapter 293 Tracking Immunological Responses of Islet Antigen-Specific T Cells in the Nonobese Diabetic (NOD) Mouse Model of Type 1 Diabetes.
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    Chapter 294 Adoptive Transfer of Autoimmune Diabetes Using Immunodeficient Nonobese Diabetic (NOD) Mice.
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    Chapter 295 Identification of Islet Antigen-Specific CD8 T Cells Using MHCI-Peptide Tetramer Reagents in the Non Obese Diabetic (NOD) Mouse Model of Type 1 Diabetes.
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    Chapter 296 Islet Autoantibody Detection by Electrochemiluminescence (ECL) Assay.
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    Chapter 307 Type 1 Diabetes High-Risk HLA Class II Determination by Polymerase Chain Reaction Sequence-Specific Primers.
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    Chapter 330 Detection of C-Peptide in Urine as a Measure of Ongoing Beta Cell Function
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    Chapter 331 The Gut Microbiome in the NOD Mouse
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    Chapter 339 Molecular Methods and Protein Synthesis for Definition of Autoantibody Epitopes.
Attention for Chapter 331: The Gut Microbiome in the NOD Mouse
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Chapter title
The Gut Microbiome in the NOD Mouse
Chapter number 331
Book title
Type-1 Diabetes
Published in
Methods in molecular biology, April 2016
DOI 10.1007/7651_2016_331
Pubmed ID
Book ISBNs
978-1-4939-3641-0, 978-1-4939-3643-4
Authors

Peng, Jian, Hu, Youjia, Wong, F Susan, Wen, Li, Jian Peng, Youjia Hu, F. Susan Wong, Li Wen

Editors

Kathleen M. Gillespie

Abstract

The microbiome (or microbiota) are an ecological community of commensal, symbiotic, and pathogenic microorganisms that outnumber the cells of the human body tenfold. These microorganisms are most abundant in the gut where they play an important role in health and disease. Alteration of the homeostasis of the gut microbiota can have beneficial or harmful consequences to health. There has recently been a major increase in studies on the association of the gut microbiome composition with disease phenotypes.The nonobese diabetic (NOD) mouse is an excellent mouse model to study spontaneous type 1 diabetes development. We, and others, have reported that gut bacteria are critical modulators for type 1 diabetes development in genetically susceptible NOD mice.Here we present our standard protocol for gut microbiome analysis in NOD mice that has been routinely implemented in our research laboratory. This incorporates the following steps: (1) Isolation of total DNA from gut bacteria from mouse fecal samples or intestinal contents; (2) bacterial DNA sequencing, and (3) basic data analysis.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 4 17%
Other 3 13%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 9%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Immunology and Microbiology 2 9%
Other 4 17%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 October 2017.
All research outputs
#3,993,454
of 22,858,915 outputs
Outputs from Methods in molecular biology
#1,038
of 13,127 outputs
Outputs of similar age
#63,135
of 300,229 outputs
Outputs of similar age from Methods in molecular biology
#3
of 25 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.