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Modeling the World from Internet Photo Collections

Overview of attention for article published in International Journal of Computer Vision, December 2007
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
1 policy source
twitter
2 X users
patent
63 patents
video
1 YouTube creator

Citations

dimensions_citation
1653 Dimensions

Readers on

mendeley
1429 Mendeley
citeulike
7 CiteULike
Title
Modeling the World from Internet Photo Collections
Published in
International Journal of Computer Vision, December 2007
DOI 10.1007/s11263-007-0107-3
Authors

Noah Snavely, Steven M. Seitz, Richard Szeliski

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 1,429 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 31 2%
Germany 10 <1%
Japan 9 <1%
China 6 <1%
Brazil 6 <1%
Australia 6 <1%
Austria 5 <1%
Spain 5 <1%
France 4 <1%
Other 35 2%
Unknown 1312 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 377 26%
Student > Master 258 18%
Researcher 206 14%
Student > Bachelor 115 8%
Professor > Associate Professor 58 4%
Other 222 16%
Unknown 193 14%
Readers by discipline Count As %
Computer Science 480 34%
Engineering 259 18%
Earth and Planetary Sciences 181 13%
Environmental Science 84 6%
Agricultural and Biological Sciences 64 4%
Other 120 8%
Unknown 241 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 January 2024.
All research outputs
#2,499,525
of 25,837,817 outputs
Outputs from International Journal of Computer Vision
#64
of 1,453 outputs
Outputs of similar age
#8,763
of 170,744 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,453 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 170,744 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 14 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 92% of its contemporaries.