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Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision

Overview of attention for article published in Landscape & Urban Planning, December 2022
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Published in
Landscape & Urban Planning, December 2022
DOI 10.1016/j.landurbplan.2022.104569
Authors

Junjie Luo, Tianhong Zhao, Lei Cao, Filip Biljecki

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 33%
Student > Ph. D. Student 1 17%
Unspecified 1 17%
Unknown 2 33%
Readers by discipline Count As %
Environmental Science 2 33%
Unspecified 1 17%
Unknown 3 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 September 2022.
All research outputs
#2,800,380
of 22,331,852 outputs
Outputs from Landscape & Urban Planning
#438
of 1,938 outputs
Outputs of similar age
#42,149
of 279,135 outputs
Outputs of similar age from Landscape & Urban Planning
#15
of 65 outputs
Altmetric has tracked 22,331,852 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 77% 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 279,135 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 85% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.