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Expiratory flow rate, breath hold and anatomic dead space influence electronic nose ability to detect lung cancer

Overview of attention for article published in BMC Pulmonary Medicine, December 2014
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
wikipedia
2 Wikipedia pages

Readers on

mendeley
92 Mendeley
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Title
Expiratory flow rate, breath hold and anatomic dead space influence electronic nose ability to detect lung cancer
Published in
BMC Pulmonary Medicine, December 2014
DOI 10.1186/1471-2466-14-202
Pubmed ID
Authors

Andras Bikov, Marton Hernadi, Beata Zita Korosi, Laszlo Kunos, Gabriella Zsamboki, Zoltan Sutto, Adam Domonkos Tarnoki, David Laszlo Tarnoki, Gyorgy Losonczy, Ildiko Horvath

Abstract

Electronic noses are composites of nanosensor arrays. Numerous studies showed their potential to detect lung cancer from breath samples by analysing exhaled volatile compound pattern ("breathprint"). Expiratory flow rate, breath hold and inclusion of anatomic dead space may influence the exhaled levels of some volatile compounds; however it has not been fully addressed how these factors affect electronic nose data. Therefore, the aim of the study was to investigate these effects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Researcher 16 17%
Student > Ph. D. Student 14 15%
Student > Bachelor 13 14%
Other 5 5%
Other 7 8%
Unknown 20 22%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Engineering 11 12%
Chemistry 8 9%
Nursing and Health Professions 6 7%
Physics and Astronomy 5 5%
Other 19 21%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 February 2021.
All research outputs
#2,388,511
of 23,881,329 outputs
Outputs from BMC Pulmonary Medicine
#138
of 2,030 outputs
Outputs of similar age
#33,731
of 359,631 outputs
Outputs of similar age from BMC Pulmonary Medicine
#8
of 35 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 93% 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 359,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.