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An overview of existing and promising technologies for national forest monitoring

Overview of attention for article published in Annals of Forest Science , March 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)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
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7 X users

Citations

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20 Dimensions

Readers on

mendeley
126 Mendeley
Title
An overview of existing and promising technologies for national forest monitoring
Published in
Annals of Forest Science , March 2015
DOI 10.1007/s13595-015-0463-z
Authors

Matieu Henry, Maxime Réjou-Méchain, Miguel Cifuentes Jara, Craig Wayson, Daniel Piotto, James Westfall, José María Michel Fuentes, Federico Alice Guier, Héctor Castañeda Lombis, Edwin Castellanos López, Ruby Cuenca Lara, Kelvin Cueva Rojas, Jhon Del Águila Pasquel, Álvaro Duque Montoya, Javier Fernández Vega, Abner Jiménez Galo, Omar R. López, Lars Gunnar Marklund, Fabián Milla, José de Jesús Návar Cahidez, Edgar Ortiz Malavassi, Johnny Pérez, Carla Ramírez Zea, Luis Rangel García, Rafael Rubilar Pons, Carlos Sanquetta, Charles Scott, Mauricio Zapata-Cuartas, Laurent Saint-André

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Germany 1 <1%
Austria 1 <1%
Australia 1 <1%
Unknown 122 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 21%
Student > Ph. D. Student 17 13%
Student > Master 16 13%
Student > Doctoral Student 9 7%
Other 7 6%
Other 26 21%
Unknown 25 20%
Readers by discipline Count As %
Environmental Science 38 30%
Agricultural and Biological Sciences 22 17%
Earth and Planetary Sciences 12 10%
Engineering 10 8%
Computer Science 3 2%
Other 6 5%
Unknown 35 28%
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 01 June 2022.
All research outputs
#5,307,749
of 26,017,215 outputs
Outputs from Annals of Forest Science
#478
of 1,018 outputs
Outputs of similar age
#61,600
of 281,600 outputs
Outputs of similar age from Annals of Forest Science
#4
of 24 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,018 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 52% 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 281,600 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 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.