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Direct visualizations of air flow in the human upper airway using in-vitro models

Overview of attention for article published in Science China Life Sciences, September 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
12 Mendeley
Title
Direct visualizations of air flow in the human upper airway using in-vitro models
Published in
Science China Life Sciences, September 2018
DOI 10.1007/s11427-018-9373-y
Pubmed ID
Authors

Haijun Wu, Mengmeng Wang, Jianxia Wang, Yunqiang An, Hui Wang, Yaqi Huang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 25%
Student > Ph. D. Student 2 17%
Other 1 8%
Professor > Associate Professor 1 8%
Unknown 5 42%
Readers by discipline Count As %
Engineering 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Medicine and Dentistry 1 8%
Sports and Recreations 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 02 October 2018.
All research outputs
#1,822,061
of 23,105,443 outputs
Outputs from Science China Life Sciences
#88
of 1,012 outputs
Outputs of similar age
#40,572
of 337,672 outputs
Outputs of similar age from Science China Life Sciences
#1
of 23 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,012 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 90% 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 337,672 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 87% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.