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Methods to estimate aboveground wood productivity from long-term forest inventory plots

Overview of attention for article published in Forest Ecology & Management, May 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

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47 Dimensions

Readers on

mendeley
215 Mendeley
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Title
Methods to estimate aboveground wood productivity from long-term forest inventory plots
Published in
Forest Ecology & Management, May 2014
DOI 10.1016/j.foreco.2014.02.021
Authors

Joey Talbot, Simon L. Lewis, Gabriela Lopez-Gonzalez, Roel J.W. Brienen, Abel Monteagudo, Timothy R. Baker, Ted R. Feldpausch, Yadvinder Malhi, Mark Vanderwel, Alejandro Araujo Murakami, Luzmila P. Arroyo, Kuo-Jung Chao, Terry Erwin, Geertje van der Heijden, Helen Keeling, Tim Killeen, David Neill, Percy Núñez Vargas, Germaine Alexander Parada Gutierrez, Nigel Pitman, Carlos Alberto Quesada, Marcos Silveira, Juliana Stropp, Oliver L. Phillips

Twitter Demographics

The data shown below were collected from the profiles of 2 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 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 4 2%
Brazil 3 1%
Colombia 2 <1%
South Africa 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Peru 1 <1%
Germany 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 199 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 22%
Researcher 39 18%
Student > Master 38 18%
Student > Doctoral Student 18 8%
Student > Bachelor 12 6%
Other 43 20%
Unknown 17 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 40%
Environmental Science 76 35%
Engineering 5 2%
Earth and Planetary Sciences 5 2%
Social Sciences 4 2%
Other 8 4%
Unknown 30 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2014.
All research outputs
#7,492,928
of 12,039,130 outputs
Outputs from Forest Ecology & Management
#1,485
of 2,419 outputs
Outputs of similar age
#97,556
of 192,094 outputs
Outputs of similar age from Forest Ecology & Management
#26
of 38 outputs
Altmetric has tracked 12,039,130 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,419 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 38th percentile – i.e., 38% 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 192,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.