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Cell Biology and Translational Medicine, Volume 7

Overview of attention for book
Attention for Chapter 430: Application of iPSC to Modelling of Respiratory Diseases.
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Chapter title
Application of iPSC to Modelling of Respiratory Diseases.
Chapter number 430
Book title
Cell Biology and Translational Medicine, Volume 7
Published in
Advances in experimental medicine and biology, January 2019
DOI 10.1007/5584_2019_430
Pubmed ID
Book ISBNs
978-3-03-037844-8, 978-3-03-037845-5
Authors

Ben A. Calvert, Amy L. Ryan (Firth), Calvert, Ben A., Ryan (Firth), Amy L.

Abstract

Respiratory disease is one of the leading causes of morbidity and mortality world-wide with an increasing incidence as the aged population prevails. Many lung diseases are treated for symptomatic relief, with no cure available, indicating a critical need for novel therapeutic strategies. Such advances are hampered by a lack of understanding of how human lung pathologies initiate and progress. Research on human lung disease relies on the isolation of primary cells from explanted lungs or the use of immortalized cells, both are limited in their capacity to represent the genomic and phenotypic variability among the population. In an era where we are progressing toward precision medicine the use of patient specific induced pluripotent cells (iPSC) to generate models, where sufficient primary cells and tissues are scarce, has increased our capacity to understand human lung pathophysiology. Directed differentiation of iPSC toward lung presented the initial challenge to overcome in generating iPSC-derived lung epithelial cells. Since then major advances have been made in defining protocols to specify and isolate specific lung lineages, with the generation of airway spheroids and multi cellular organoids now possible. This technological advance has opened up our capacity for human lung research and prospects for autologous cell therapy. This chapter will focus on the application of iPSC to studying human lung disease.

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X Demographics

The data shown below were collected from the profiles of 3 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Researcher 5 13%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 3 8%
Unknown 14 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 26%
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 1 3%
Other 2 5%
Unknown 15 39%
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 16 April 2020.
All research outputs
#14,170,799
of 23,155,957 outputs
Outputs from Advances in experimental medicine and biology
#2,032
of 4,984 outputs
Outputs of similar age
#229,280
of 438,493 outputs
Outputs of similar age from Advances in experimental medicine and biology
#30
of 43 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,984 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 57% 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 438,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.