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Defect Inspection Techniques in SiC

Overview of attention for article published in Nanoscale Research Letters, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
39 Mendeley
Title
Defect Inspection Techniques in SiC
Published in
Nanoscale Research Letters, March 2022
DOI 10.1186/s11671-022-03672-w
Pubmed ID
Authors

Po-Chih Chen, Wen-Chien Miao, Tanveer Ahmed, Yi-Yu Pan, Chun-Liang Lin, Shih-Chen Chen, Hao-Chung Kuo, Bing-Yue Tsui, Der-Hsien Lien

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 8 21%
Unspecified 6 15%
Student > Bachelor 1 3%
Other 1 3%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Materials Science 11 28%
Unspecified 9 23%
Physics and Astronomy 4 10%
Engineering 2 5%
Chemistry 1 3%
Other 0 0%
Unknown 12 31%

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 09 March 2022.
All research outputs
#14,760,445
of 21,955,070 outputs
Outputs from Nanoscale Research Letters
#456
of 1,060 outputs
Outputs of similar age
#197,491
of 339,042 outputs
Outputs of similar age from Nanoscale Research Letters
#1
of 1 outputs
Altmetric has tracked 21,955,070 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 1,060 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 45th percentile – i.e., 45% 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 339,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them