↓ Skip to main content

Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep Learning

Overview of attention for article published in Frontiers in Plant Science, April 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
46 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep Learning
Published in
Frontiers in Plant Science, April 2022
DOI 10.3389/fpls.2022.758818
Pubmed ID
Authors

Nicolas Buxbaum, Johann Heinrich Lieth, Mason Earles

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 9%
Student > Master 3 7%
Unspecified 2 4%
Researcher 2 4%
Lecturer 2 4%
Other 3 7%
Unknown 30 65%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 13%
Computer Science 3 7%
Unspecified 2 4%
Engineering 2 4%
Environmental Science 1 2%
Other 1 2%
Unknown 31 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 April 2022.
All research outputs
#20,874,241
of 26,518,120 outputs
Outputs from Frontiers in Plant Science
#14,957
of 25,322 outputs
Outputs of similar age
#324,750
of 454,920 outputs
Outputs of similar age from Frontiers in Plant Science
#673
of 1,200 outputs
Altmetric has tracked 26,518,120 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,322 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 454,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,200 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.