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Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach

Overview of attention for article published in Annals of Forest Science , October 2015
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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)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
108 Mendeley
Title
Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach
Published in
Annals of Forest Science , October 2015
DOI 10.1007/s13595-015-0524-3
Authors

Marco Andrew Njana, Ole Martin Bollandsås, Tron Eid, Eliakimu Zahabu, Rogers Ernest Malimbwi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 16 15%
Student > Master 15 14%
Student > Bachelor 14 13%
Student > Doctoral Student 9 8%
Other 6 6%
Unknown 29 27%
Readers by discipline Count As %
Environmental Science 34 31%
Agricultural and Biological Sciences 20 19%
Earth and Planetary Sciences 8 7%
Engineering 6 6%
Social Sciences 2 2%
Other 3 3%
Unknown 35 32%
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 01 June 2016.
All research outputs
#4,168,397
of 25,374,647 outputs
Outputs from Annals of Forest Science
#330
of 942 outputs
Outputs of similar age
#52,645
of 291,148 outputs
Outputs of similar age from Annals of Forest Science
#11
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 291,148 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 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.