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Estimating aboveground net biomass change for tropical and subtropical forests: Refinement of IPCC default rates using forest plot data

Overview of attention for article published in Global Change Biology, August 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
56 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
177 Mendeley
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Title
Estimating aboveground net biomass change for tropical and subtropical forests: Refinement of IPCC default rates using forest plot data
Published in
Global Change Biology, August 2019
DOI 10.1111/gcb.14767
Pubmed ID
Authors

Daniela Requena Suarez, Danaë M. A. Rozendaal, Veronique De Sy, Oliver L. Phillips, Esteban Alvarez‐Dávila, Kristina Anderson‐Teixeira, Alejandro Araujo‐Murakami, Luzmila Arroyo, Timothy R. Baker, Frans Bongers, Roel J. W. Brienen, Sarah Carter, Susan C. Cook‐Patton, Ted R. Feldpausch, Bronson W. Griscom, Nancy Harris, Bruno Hérault, Eurídice N. Honorio Coronado, Sara M. Leavitt, Simon L. Lewis, Beatriz S. Marimon, Abel Monteagudo Mendoza, Justin Kassi N'dja, Anny Estelle N'Guessan, Lourens Poorter, Lan Qie, Ervan Rutishauser, Plinio Sist, Bonaventure Sonké, Martin J. P. Sullivan, Emilio Vilanova, Maria M. H. Wang, Christopher Martius, Martin Herold

Twitter Demographics

The data shown below were collected from the profiles of 56 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 177 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 24%
Student > Ph. D. Student 25 14%
Student > Master 21 12%
Student > Bachelor 12 7%
Student > Doctoral Student 11 6%
Other 35 20%
Unknown 30 17%
Readers by discipline Count As %
Environmental Science 61 34%
Agricultural and Biological Sciences 38 21%
Earth and Planetary Sciences 12 7%
Computer Science 4 2%
Social Sciences 3 2%
Other 12 7%
Unknown 47 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 06 May 2021.
All research outputs
#741,578
of 18,422,743 outputs
Outputs from Global Change Biology
#912
of 4,860 outputs
Outputs of similar age
#15,093
of 215,773 outputs
Outputs of similar age from Global Change Biology
#19
of 54 outputs
Altmetric has tracked 18,422,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,860 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one has done well, scoring higher than 81% 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 215,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 54 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 66% of its contemporaries.