| Title |
European Forest Types: toward an automated classification
|
|---|---|
| Published in |
Annals of Forest Science , January 2018
|
| DOI | 10.1007/s13595-017-0674-6 |
| Authors |
Francesca Giannetti, Anna Barbati, Leone Davide Mancini, Davide Travaglini, Annemarie Bastrup-Birk, Roberto Canullo, Susanna Nocentini, Gherardo Chirici |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| United Kingdom | 1 | 10% |
| Italy | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 40% |
| Members of the public | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 21% |
| Environmental Science | 9 | 17% |
| Earth and Planetary Sciences | 3 | 6% |
| Unspecified | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 22 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 30 June 2018.
All research outputs
#2,753,486
of 25,382,440 outputs
Outputs from Annals of Forest Science
#94
of 942 outputs
Outputs of similar age
#60,136
of 450,297 outputs
Outputs of similar age from Annals of Forest Science
#2
of 24 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 89% 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 450,297 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.