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Considering neighborhood effects improves individual dbh growth models for natural mixed-species forests in Mexico

Overview of attention for article published in Annals of Forest Science , August 2018
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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 (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
Title
Considering neighborhood effects improves individual dbh growth models for natural mixed-species forests in Mexico
Published in
Annals of Forest Science , August 2018
DOI 10.1007/s13595-018-0762-2
Authors

Gerónimo Quiñonez-Barraza, Dehai Zhao, Héctor M. De Los Santos Posadas, José J. Corral-Rivas

Twitter Demographics

The data shown below were collected from the profiles of 4 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Unspecified 4 25%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Unspecified 5 31%
Environmental Science 3 19%
Earth and Planetary Sciences 1 6%
Psychology 1 6%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 August 2018.
All research outputs
#1,655,203
of 13,376,849 outputs
Outputs from Annals of Forest Science
#156
of 547 outputs
Outputs of similar age
#54,070
of 266,754 outputs
Outputs of similar age from Annals of Forest Science
#15
of 24 outputs
Altmetric has tracked 13,376,849 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 547 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 62% 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 266,754 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 79% 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 is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.