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Improved method on image stitching based on optical flow algorithm

Overview of attention for article published in International Journal of Engineering Business Management, December 2020
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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 (81st percentile)

Mentioned by

patent
6 patents

Readers on

mendeley
26 Mendeley
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Article details
Title
Improved method on image stitching based on optical flow algorithm
Published in
International Journal of Engineering Business Management, December 2020
DOI 10.1177/1847979020980928
Authors

Hyunchul Lee, Sungmin Lee, Okkyung Choi

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Researcher 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 13 50%
Readers by discipline
Readers by discipline Count As %
Computer Science 4 15%
Engineering 3 12%
Nursing and Health Professions 2 8%
Business, Management and Accounting 1 4%
Psychology 1 4%
Other 2 8%
Unknown 13 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 August 2026.
All research outputs
#4,652,085
of 31,439,095 outputs
Outputs from International Journal of Engineering Business Management
#6
of 57 outputs
Outputs of similar age
#101,951
of 550,969 outputs
Outputs of similar age from International Journal of Engineering Business Management
#1
of 2 outputs
Altmetric has tracked 31,439,095 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% 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 550,969 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 81% of its contemporaries.
We're also able to compare this research output to 2 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