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Human Organ-on-a-Chip Microphysiological Systems to Model Musculoskeletal Pathologies and Accelerate Therapeutic Discovery

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Human Organ-on-a-Chip Microphysiological Systems to Model Musculoskeletal Pathologies and Accelerate Therapeutic Discovery
Published in
Frontiers in Bioengineering and Biotechnology, March 2022
DOI 10.3389/fbioe.2022.846230
Pubmed ID
Authors

Raquel E. Ajalik, Rahul G. Alenchery, John S. Cognetti, Victor Z. Zhang, James L. McGrath, Benjamin L. Miller, Hani A. Awad

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 13%
Researcher 5 8%
Student > Ph. D. Student 4 6%
Student > Master 3 5%
Student > Postgraduate 2 3%
Other 4 6%
Unknown 37 59%
Readers by discipline Count As %
Chemistry 6 10%
Medicine and Dentistry 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Veterinary Science and Veterinary Medicine 2 3%
Engineering 2 3%
Other 6 10%
Unknown 40 63%
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 06 April 2022.
All research outputs
#8,230,519
of 26,075,497 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,393
of 8,678 outputs
Outputs of similar age
#161,101
of 455,012 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#79
of 653 outputs
Altmetric has tracked 26,075,497 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,678 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 83% 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 455,012 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 64% of its contemporaries.
We're also able to compare this research output to 653 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.