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Integrated EIT system for functional lung ventilation imaging

Overview of attention for article published in BioMedical Engineering OnLine, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Integrated EIT system for functional lung ventilation imaging
Published in
BioMedical Engineering OnLine, July 2019
DOI 10.1186/s12938-019-0701-y
Pubmed ID
Authors

Geuk Young Jang, Ghazal Ayoub, Young Eun Kim, Tong In Oh, Chi Ryang Chung, Gee Young Suh, Eung Je Woo

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

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Bachelor 6 12%
Student > Master 5 10%
Other 4 8%
Lecturer 3 6%
Other 10 19%
Unknown 17 33%
Readers by discipline Count As %
Engineering 13 25%
Medicine and Dentistry 9 17%
Physics and Astronomy 3 6%
Nursing and Health Professions 2 4%
Mathematics 1 2%
Other 4 8%
Unknown 20 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 April 2020.
All research outputs
#15,605,323
of 23,202,641 outputs
Outputs from BioMedical Engineering OnLine
#428
of 828 outputs
Outputs of similar age
#213,360
of 346,798 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 6 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 346,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.