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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 1% |
| Brazil | 3 | 1% |
| Colombia | 2 | <1% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Germany | 1 | <1% |
| Peru | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 257 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 18% |
| Student > Master | 50 | 18% |
| Researcher | 45 | 17% |
| Student > Doctoral Student | 20 | 7% |
| Student > Bachelor | 16 | 6% |
| Other | 50 | 18% |
| Unknown | 41 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 101 | 37% |
| Environmental Science | 84 | 31% |
| Earth and Planetary Sciences | 11 | 4% |
| Engineering | 8 | 3% |
| Computer Science | 4 | 1% |
| Other | 8 | 3% |
| Unknown | 56 | 21% |
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 20 April 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Forest Ecology & Management
#4,850
of 5,760 outputs
Outputs of similar age
#178,408
of 242,247 outputs
Outputs of similar age from Forest Ecology & Management
#39
of 53 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 5th percentile – i.e., 5% 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 242,247 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.