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Wnt Signaling

Overview of attention for book
Cover of 'Wnt Signaling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Visualizing Wnt Palmitoylation in Single Cells.
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    Chapter 2 Monitoring Wnt Protein Acylation Using an In Vitro Cyclo-Addition Reaction.
  4. Altmetric Badge
    Chapter 3 Biochemical Methods to Analyze Wnt Protein Secretion.
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    Chapter 4 Methods for Studying Wnt Protein Modifications/Inactivations by Extracellular Enzymes, Tiki and Notum.
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    Chapter 5 Probing Wnt Receptor Turnover: A Critical Regulatory Point of Wnt Pathway.
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    Chapter 6 A Simple Method to Assess Abundance of the β-Catenin Signaling Pool in Cells.
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    Chapter 7 Wnt-Dependent Control of Cell Polarity in Cultured Cells.
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    Chapter 8 The Use of Chick Embryos to Study Wnt Activity Gradients.
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    Chapter 9 Monitoring Wnt Signaling in Zebrafish Using Fluorescent Biosensors.
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    Chapter 10 Wnt Signaling
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    Chapter 11 Wnt Signaling
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    Chapter 12 Delivery of the Porcupine Inhibitor WNT974 in Mice.
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    Chapter 13 Use of Primary Calvarial Osteoblasts to Evaluate the Function of Wnt Signaling in Osteogenesis.
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    Chapter 14 Monitoring Wnt/β-Catenin Signaling in Skin.
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    Chapter 15 The Generation of Organoids for Studying Wnt Signaling.
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    Chapter 16 Methods to Manipulate and Monitor Wnt Signaling in Human Pluripotent Stem Cells.
  18. Altmetric Badge
    Chapter 17 Wnt Signaling
  19. Altmetric Badge
    Chapter 18 Erratum to: Delivery of the Porcupine Inhibitor WNT974 in Mice
Attention for Chapter 17: Wnt Signaling
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Chapter title
Wnt Signaling
Chapter number 17
Book title
Wnt Signaling
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6393-5_17
Pubmed ID
27590162
Book ISBNs
978-1-4939-6391-1, 978-1-4939-6393-5
Authors

Bao, Xiaoping, Lian, Xiaojun, Palecek, Sean P, Xiaoping Bao, Xiaojun Lian, Sean P. Palecek

Editors

Quinn Barrett, Lawrence Lum

Abstract

Efficient derivation of endothelial cells and their progenitors from human pluripotent stem cells (hPSCs) can facilitate studies of human vascular development, disease modeling, drug discovery, and cell-based therapy. Here we provide a detailed protocol for directing hPSCs to functional endothelial cells and their progenitors in a completely defined, growth factor- and serum-free system by temporal modulation of Wnt/β-catenin signaling via small molecules. We demonstrate a 10-day, two-stage process that recapitulates endothelial cell development, in which hPSCs first differentiate to endothelial progenitors that then generate functional endothelial cells and smooth muscle cells. Methods to characterize endothelial cell identity and function are also described.

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X Demographics

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Researcher 3 14%
Other 2 9%
Student > Bachelor 2 9%
Professor 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Engineering 4 18%
Biochemistry, Genetics and Molecular Biology 2 9%
Chemical Engineering 2 9%
Medicine and Dentistry 2 9%
Other 3 14%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 September 2016.
All research outputs
#14,860,134
of 22,886,568 outputs
Outputs from Methods in molecular biology
#4,701
of 13,131 outputs
Outputs of similar age
#219,021
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#469
of 1,471 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 393,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.

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