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Functional complexity of hair follicle stem cell niche and therapeutic targeting of niche dysfunction for hair regeneration

Overview of attention for article published in Journal of Biomedical Science, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Functional complexity of hair follicle stem cell niche and therapeutic targeting of niche dysfunction for hair regeneration
Published in
Journal of Biomedical Science, March 2020
DOI 10.1186/s12929-020-0624-8
Pubmed ID
Authors

Chih-Lung Chen, Wen-Yen Huang, Eddy Hsi Chun Wang, Kang-Yu Tai, Sung-Jan Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 13%
Researcher 15 12%
Student > Master 13 10%
Student > Bachelor 10 8%
Other 6 5%
Other 15 12%
Unknown 54 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 24%
Medicine and Dentistry 10 8%
Agricultural and Biological Sciences 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Immunology and Microbiology 5 4%
Other 17 13%
Unknown 55 42%
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 20 April 2023.
All research outputs
#7,902,611
of 25,387,668 outputs
Outputs from Journal of Biomedical Science
#320
of 1,104 outputs
Outputs of similar age
#147,099
of 390,775 outputs
Outputs of similar age from Journal of Biomedical Science
#4
of 17 outputs
Altmetric has tracked 25,387,668 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 1,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 390,775 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 62% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.