↓ Skip to main content

How to Grow a Lung: Applying Principles of Developmental Biology to Generate Lung Lineages from Human Pluripotent Stem Cells

Overview of attention for article published in Current Pathobiology Reports, April 2016
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 103)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
80 Mendeley
Title
How to Grow a Lung: Applying Principles of Developmental Biology to Generate Lung Lineages from Human Pluripotent Stem Cells
Published in
Current Pathobiology Reports, April 2016
DOI 10.1007/s40139-016-0102-x
Pubmed ID
Authors

Briana R. Dye, Alyssa J. Miller, Jason R. Spence

Abstract

The number and severity of diseases affecting human lung development and adult respiratory function has stimulated great interest in new in vitro models to study the human lung. This review summarizes the most recent breakthroughs deriving lung lineages in a dish by directing the differentiation of human pluripotent stem cells. A variety of culturing platforms have been developed, including two-dimensional and three-dimensional (organoid) culture platforms, to derive specific cell types and structures of the lung. These stem cell-derived lung models will further our understanding of human lung development, disease, and regeneration.

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

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Researcher 14 18%
Student > Master 9 11%
Student > Doctoral Student 7 9%
Student > Bachelor 6 8%
Other 7 9%
Unknown 19 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 38%
Agricultural and Biological Sciences 8 10%
Medicine and Dentistry 7 9%
Engineering 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 6 8%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 September 2020.
All research outputs
#6,984,197
of 22,896,955 outputs
Outputs from Current Pathobiology Reports
#24
of 103 outputs
Outputs of similar age
#98,501
of 299,141 outputs
Outputs of similar age from Current Pathobiology Reports
#1
of 1 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 299,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them