↓ Skip to main content

Cell Biology and Translational Medicine, Volume 4

Overview of attention for book
Attention for Chapter 257: Induced Pluripotent Stem Cells and Induced Pluripotent Cancer Cells in Cancer Disease Modeling
Altmetric Badge

Mentioned by

twitter
1 tweeter

Readers on

mendeley
17 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
Induced Pluripotent Stem Cells and Induced Pluripotent Cancer Cells in Cancer Disease Modeling
Chapter number 257
Book title
Cell Biology and Translational Medicine, Volume 4
Published in
Advances in experimental medicine and biology, August 2018
DOI 10.1007/5584_2018_257
Pubmed ID
Book ISBNs
978-3-03-010485-6, 978-3-03-010486-3
Authors

Dandan Zhu, Celine Shuet Lin Kong, Julian A. Gingold, Ruiying Zhao, Dung-Fang Lee

Abstract

In 2006, Noble Prize laureate Shinya Yamanaka discovered that a set of transcription factors can reprogram terminally differentiated somatic cells to a pluripotent stem cell state. Since then, induced pluripotent stem cells (iPSCs) have come into the public spotlight. Amidst a growing field of promising clinical uses of iPSCs in recent years, cancer disease modeling has emerged as a particularly promising and rapidly translatable application of iPSCs. Technological advances in genome editing over the past few years have facilitated increasingly rapid progress in generation of iPSCs with clearly defined genetic backgrounds to complement existing patient-derived models. Improved protocols for differentiation of iPSCs, engineered iPSCs and embryonic stem cells (ESCs) now permit the study of disease biology in the majority of somatic cell types. Here, we highlight current efforts to create patient-derived iPSC disease models to study various cancer types. We review the advantages and current challenges of using iPSCs in cancer disease modeling.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Master 4 24%
Student > Doctoral Student 1 6%
Librarian 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 18%
Biochemistry, Genetics and Molecular Biology 3 18%
Medicine and Dentistry 3 18%
Unspecified 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 5 29%

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 03 August 2018.
All research outputs
#11,822,520
of 13,325,587 outputs
Outputs from Advances in experimental medicine and biology
#2,412
of 3,243 outputs
Outputs of similar age
#232,593
of 268,934 outputs
Outputs of similar age from Advances in experimental medicine and biology
#2
of 3 outputs
Altmetric has tracked 13,325,587 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,243 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 268,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.