| Title |
A general method for the classification of forest stands using species composition and vertical and horizontal structure
|
|---|---|
| Published in |
Annals of Forest Science , April 2019
|
| DOI | 10.1007/s13595-019-0824-0 |
| Authors |
Miquel De Cáceres, Santiago Martín-Alcón, Jose Ramón González-Olabarria, Lluís Coll |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 24% |
| Spain | 4 | 24% |
| Canada | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 25% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 35% |
| Environmental Science | 13 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Engineering | 2 | 3% |
| Earth and Planetary Sciences | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 25 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 25 April 2019.
All research outputs
#2,063,055
of 25,462,162 outputs
Outputs from Annals of Forest Science
#39
of 944 outputs
Outputs of similar age
#45,388
of 366,323 outputs
Outputs of similar age from Annals of Forest Science
#7
of 32 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 944 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 366,323 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 87% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.