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Understanding Tree-to-Tree Variations in Stone Pine (Pinus pinea L.) Cone Production Using Terrestrial Laser Scanner

Overview of attention for article published in Remote Sensing, January 2020
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
14 X users

Readers on

mendeley
27 Mendeley
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Article details
Title
Understanding Tree-to-Tree Variations in Stone Pine (Pinus pinea L.) Cone Production Using Terrestrial Laser Scanner
Published in
Remote Sensing, January 2020
DOI 10.3390/rs12010173
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 26%
Other 3 11%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 1 4%
Other 2 7%
Unknown 9 33%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 33%
Environmental Science 5 19%
Chemical Engineering 1 4%
Engineering 1 4%
Unknown 11 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 March 2020.
All research outputs
#3,629,851
of 22,824,164 outputs
Outputs from Remote Sensing
#1,192
of 11,305 outputs
Outputs of similar age
#85,327
of 454,181 outputs
Outputs of similar age from Remote Sensing
#80
of 598 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,305 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 89% 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 454,181 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 81% of its contemporaries.
We're also able to compare this research output to 598 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.