↓ Skip to main content

Generation of a human airway epithelium derived basal cell line with multipotent differentiation capacity

Overview of attention for article published in Respiratory Research, December 2013
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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
193 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.
Title
Generation of a human airway epithelium derived basal cell line with multipotent differentiation capacity
Published in
Respiratory Research, December 2013
DOI 10.1186/1465-9921-14-135
Pubmed ID
Authors

Matthew S Walters, Kazunori Gomi, Beth Ashbridge, Malcolm A S Moore, Vanessa Arbelaez, Jonna Heldrich, Bi-Sen Ding, Shahin Rafii, Michelle R Staudt, Ronald G Crystal

Abstract

As the multipotent progenitor population of the airway epithelium, human airway basal cells (BC) replenish the specialized differentiated cell populations of the mucociliated airway epithelium during physiological turnover and repair. Cultured primary BC divide a limited number of times before entering a state of replicative senescence, preventing the establishment of long-term replicating cultures of airway BC that maintain their original phenotype.

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

Geographical breakdown

Country Count As %
United States 2 1%
France 1 <1%
Netherlands 1 <1%
Spain 1 <1%
India 1 <1%
Unknown 187 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 24%
Researcher 26 13%
Student > Bachelor 17 9%
Student > Master 16 8%
Student > Doctoral Student 11 6%
Other 36 19%
Unknown 40 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 24%
Biochemistry, Genetics and Molecular Biology 34 18%
Immunology and Microbiology 20 10%
Medicine and Dentistry 14 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 25 13%
Unknown 46 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 February 2017.
All research outputs
#3,273,774
of 25,374,647 outputs
Outputs from Respiratory Research
#402
of 3,062 outputs
Outputs of similar age
#36,155
of 320,280 outputs
Outputs of similar age from Respiratory Research
#7
of 31 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 86% 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 320,280 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 88% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.