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Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania

Overview of attention for article published in Carbon Balance and Management, December 2015
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Mentioned by

facebook
1 Facebook page

Citations

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27 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania
Published in
Carbon Balance and Management, December 2015
DOI 10.1186/s13021-015-0037-2
Pubmed ID
Authors

Ernest William Mauya, Liviu Theodor Ene, Ole Martin Bollandsås, Terje Gobakken, Erik Næsset, Rogers Ernest Malimbwi, Eliakimu Zahabu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Netherlands 1 1%
Brazil 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Researcher 10 14%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 6 8%
Student > Bachelor 4 6%
Other 12 17%
Unknown 18 25%
Readers by discipline Count As %
Environmental Science 18 25%
Earth and Planetary Sciences 9 13%
Agricultural and Biological Sciences 9 13%
Engineering 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 8%
Unknown 22 31%
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 08 December 2015.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Carbon Balance and Management
#227
of 232 outputs
Outputs of similar age
#344,229
of 401,234 outputs
Outputs of similar age from Carbon Balance and Management
#7
of 7 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one is in the 1st percentile – i.e., 1% 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 401,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.