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Make3D: Learning 3D Scene Structure from a Single Still Image

Overview of attention for article published in IEEE Transactions on Software Engineering, May 2008
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
1 X user
patent
61 patents

Readers on

mendeley
876 Mendeley
citeulike
2 CiteULike
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Article details
Title
Make3D: Learning 3D Scene Structure from a Single Still Image
Published in
IEEE Transactions on Software Engineering, May 2008
DOI 10.1109/tpami.2008.132
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 876 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 22 3%
Germany 10 1%
Japan 9 1%
United Kingdom 6 <1%
France 4 <1%
Brazil 4 <1%
Switzerland 4 <1%
Australia 3 <1%
Italy 3 <1%
Other 26 3%
Unknown 785 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 247 28%
Student > Master 156 18%
Researcher 109 12%
Student > Bachelor 69 8%
Professor > Associate Professor 38 4%
Other 122 14%
Unknown 135 15%
Readers by discipline
Readers by discipline Count As %
Computer Science 465 53%
Engineering 180 21%
Agricultural and Biological Sciences 15 2%
Physics and Astronomy 8 <1%
Mathematics 8 <1%
Other 46 5%
Unknown 154 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 24 March 2026.
All research outputs
#2,183,112
of 34,364,397 outputs
Outputs from IEEE Transactions on Software Engineering
#215
of 7,909 outputs
Outputs of similar age
#5,642
of 137,772 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 55 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,909 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 97% 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 137,772 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 95% of its contemporaries.
We're also able to compare this research output to 55 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 96% of its contemporaries.