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Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

Overview of attention for article published in IEEE Transactions on Software Engineering, April 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
22 X users
patent
30 patents
reddit
1 Redditor
podcasts
1 podcast

Readers on

mendeley
857 Mendeley
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Article details
Title
Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
Published in
IEEE Transactions on Software Engineering, April 2021
DOI 10.1109/tpami.2019.2954885
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 857 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 857 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 147 17%
Student > Master 141 16%
Researcher 62 7%
Student > Bachelor 57 7%
Student > Doctoral Student 26 3%
Other 74 9%
Unknown 350 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 298 35%
Engineering 129 15%
Physics and Astronomy 13 2%
Agricultural and Biological Sciences 6 <1%
Mathematics 6 <1%
Other 30 4%
Unknown 375 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 01 September 2026.
All research outputs
#1,393,369
of 34,377,743 outputs
Outputs from IEEE Transactions on Software Engineering
#77
of 7,916 outputs
Outputs of similar age
#29,488
of 481,381 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 67 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,916 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 481,381 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 93% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.