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Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots

Overview of attention for article published in Machine Vision and Applications, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 574)
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
5 X users
patent
2 patents
facebook
3 Facebook pages

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
63 Mendeley
Title
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots
Published in
Machine Vision and Applications, December 2017
DOI 10.1007/s00138-017-0905-8
Authors

Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araujo, Ender Konukoglu, Metin Sitti

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 10 16%
Student > Doctoral Student 6 10%
Professor 6 10%
Researcher 5 8%
Other 9 14%
Unknown 15 24%
Readers by discipline Count As %
Engineering 28 44%
Computer Science 10 16%
Chemistry 2 3%
Psychology 1 2%
Chemical Engineering 1 2%
Other 2 3%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 February 2023.
All research outputs
#3,440,598
of 24,119,703 outputs
Outputs from Machine Vision and Applications
#29
of 574 outputs
Outputs of similar age
#75,761
of 449,728 outputs
Outputs of similar age from Machine Vision and Applications
#2
of 2 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 574 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 95% 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 449,728 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 83% 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.