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Generation and application of hyperspectral 3D plant models: methods and challenges

Overview of attention for article published in Machine Vision and Applications, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
118 Mendeley
Title
Generation and application of hyperspectral 3D plant models: methods and challenges
Published in
Machine Vision and Applications, October 2015
DOI 10.1007/s00138-015-0716-8
Authors

Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Jan Dupuis, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Brazil 1 <1%
Unknown 116 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Researcher 24 20%
Student > Master 10 8%
Student > Doctoral Student 10 8%
Student > Bachelor 6 5%
Other 10 8%
Unknown 31 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 25%
Engineering 14 12%
Computer Science 13 11%
Earth and Planetary Sciences 7 6%
Environmental Science 7 6%
Other 13 11%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 August 2022.
All research outputs
#4,409,376
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#58
of 551 outputs
Outputs of similar age
#56,736
of 277,364 outputs
Outputs of similar age from Machine Vision and Applications
#2
of 7 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 277,364 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 78% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.