↓ Skip to main content

Progranulin

Overview of attention for book
Cover of 'Progranulin'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Brief Overview of Progranulin in Health and Disease
  3. Altmetric Badge
    Chapter 2 Chromatographic Methods for the Purification of Granulin Peptides
  4. Altmetric Badge
    Chapter 3 Methods for Expression and Purification of Biologically Active Recombinant Progranulin
  5. Altmetric Badge
    Chapter 4 Large-Scale Generation of Recombinant Granulin Peptides in E. coli
  6. Altmetric Badge
    Chapter 5 Nuclear Magnetic Resonance Spectroscopy in Analysis of Granulin Three-Dimensional Structure and Cysteine Bridging
  7. Altmetric Badge
    Chapter 6 Data Mining: Applying the AD&FTD Mutation Database to Progranulin
  8. Altmetric Badge
    Chapter 7 Measurement of Circulating Progranulin (PGRN/GP88/GEP) by Enzyme-Linked Immunosorbent Assay and Application in Human Diseases
  9. Altmetric Badge
    Chapter 8 Immunohistochemical Detection of Progranulin (PGRN/GP88/GEP) in Tumor Tissues as a Cancer Prognostic Biomarker
  10. Altmetric Badge
    Chapter 9 Analysis of Progranulin-Mediated Akt and MAPK Activation
  11. Altmetric Badge
    Chapter 10 Mouse Monoclonal Antibodies Against Progranulin (PGRN/GEP) as Therapeutics in Preclinical Cancer Models
  12. Altmetric Badge
    Chapter 11 Methods to Analyze the Role of Progranulin (PGRN/GEP) on Cancer Stem Cell Features
  13. Altmetric Badge
    Chapter 12 Methods to Study the Role of Progranulin in the Tumor Microenvironment
  14. Altmetric Badge
    Chapter 13 Methods to Investigate the Molecular Basis of Progranulin Action on Neurons In Vivo Using Caenorhabditis elegans
  15. Altmetric Badge
    Chapter 14 The Use of Caenorhabditis elegans to Study Progranulin in the Regulation of Programmed Cell Death and Stress Response
  16. Altmetric Badge
    Chapter 15 Application of Zebrafish and Knockdown Technology to Define Progranulin Neuronal Function
  17. Altmetric Badge
    Chapter 16 Methods to Investigate the Molecular Basis of Progranulin Actions on Brain and Behavior In Vivo Using Knockout Mice
  18. Altmetric Badge
    Chapter 17 Methods to Investigate the Protection Against Neurodegenerative Disorders Provided by Progranulin Gene Transfer in the Brain
  19. Altmetric Badge
    Chapter 18 The Interaction Between Progranulin with Sortilin and the Lysosome
  20. Altmetric Badge
    Chapter 19 Methods to Study the Role of Progranulin in Preimplantation Mouse Embryo Development
  21. Altmetric Badge
    Chapter 20 Establishment of a Modified Collagen-Induced Arthritis Mouse Model to Investigate the Anti-inflammatory Activity of Progranulin in Inflammatory Arthritis
  22. Altmetric Badge
    Chapter 21 Methods for Studying the Function of Progranulin in Atherosclerosis Using Both Knockout Mice Models and In Vitro Studies
  23. Altmetric Badge
    Chapter 22 Methods to Investigate the Roles of Progranulin in Angiogenesis Using In Vitro Strategies and Transgenic Mouse Models
Attention for Chapter 6: Data Mining: Applying the AD&FTD Mutation Database to Progranulin
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Data Mining: Applying the AD&FTD Mutation Database to Progranulin
Chapter number 6
Book title
Progranulin
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8559-3_6
Pubmed ID
Book ISBNs
978-1-4939-8557-9, 978-1-4939-8559-3
Authors

Marc Cruts, Christine Van Broeckhoven, Cruts, Marc, Broeckhoven, Christine, Broeckhoven, Christine Van

Abstract

The online AD&FTD Mutation Database ( http://www.molgen.vib-ua.be/FTDmutations ) was conceived to meet the needs of a comprehensive knowledge base of genetic variations in genes associated with monogenic forms of Alzheimer's disease (AD) and frontotemporal dementia (FTD). Today, the AD&FTD Mutation Database provides curated, referenced information of 764 genetic variants in APP, PSEN1, and PSEN2 associated with AD and GRN, C9orf72, TBK1, MAPT, VCP, CHMP2B, TARDBP, and FUS associated with FTD and related diseases. In addition, the database stores demographic and clinicogenetic data of 1646 dementia families associated with these mutations. In FTD, the granulin (GRN) gene has the highest number of different mutations (79/231 = 34%) and the second highest number of associated FTD families after C9orf72. In addition to the detailed mutation and patient information, summary reports in tabular and graphical formats can be consulted. Further, all variants can be uploaded to the human genome browser for custom-designed analyses.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Bachelor 3 13%
Researcher 3 13%
Student > Doctoral Student 2 8%
Professor 2 8%
Other 5 21%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Neuroscience 4 17%
Medicine and Dentistry 3 13%
Agricultural and Biological Sciences 2 8%
Psychology 2 8%
Other 3 13%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2018.
All research outputs
#3,014,530
of 23,253,955 outputs
Outputs from Methods in molecular biology
#612
of 13,319 outputs
Outputs of similar age
#69,623
of 443,527 outputs
Outputs of similar age from Methods in molecular biology
#39
of 1,501 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 443,527 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 83% of its contemporaries.
We're also able to compare this research output to 1,501 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.