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Recent Advances of SnO2-Based Sensors for Detecting Fault Characteristic Gases Extracted From Power Transformer Oil

Overview of attention for article published in Frontiers in Chemistry, August 2018
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 patent

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41 Mendeley
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Title
Recent Advances of SnO2-Based Sensors for Detecting Fault Characteristic Gases Extracted From Power Transformer Oil
Published in
Frontiers in Chemistry, August 2018
DOI 10.3389/fchem.2018.00364
Pubmed ID
Authors

Qingyan Zhang, Qu Zhou, Zhaorui Lu, Zhijie Wei, Lingna Xu, Yingang Gui

Abstract

Tin oxide SnO2-based gas sensors have been widely used for detecting typical fault characteristic gases extracted from power transformer oil, namely, H2, CO, CO2, CH4, C2H2, C2H4, and C2H6, due to the remarkable advantages of high sensitivity, fast response, long-term stability, and so on. Herein, we present an overview of the recent significant improvement in fabrication and application of high performance SnO2-based sensors for detecting these fault characteristic gases. Promising materials for the sensitive and selective detection of each kind of fault characteristic gas have been identified. Meanwhile, the corresponding sensing mechanisms of SnO2-based gas sensors of these fault characteristic gases are comprehensively discussed. In the final section of this review, the major challenges and promising developments in this domain are also given.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 7 17%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 14 34%
Readers by discipline Count As %
Chemistry 6 15%
Materials Science 5 12%
Physics and Astronomy 3 7%
Engineering 3 7%
Chemical Engineering 2 5%
Other 3 7%
Unknown 19 46%
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 22 October 2020.
All research outputs
#7,327,189
of 23,102,082 outputs
Outputs from Frontiers in Chemistry
#574
of 6,040 outputs
Outputs of similar age
#127,319
of 335,210 outputs
Outputs of similar age from Frontiers in Chemistry
#22
of 199 outputs
Altmetric has tracked 23,102,082 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 6,040 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 89% 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 335,210 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 61% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.