| Title |
EuMIXFOR empirical forest mensuration and ring width data from pure and mixed stands of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) through Europe
|
|---|---|
| Published in |
Annals of Forest Science , August 2017
|
| DOI | 10.1007/s13595-017-0660-z |
| Authors |
Michael Heym, Ricardo Ruíz-Peinado, Miren Del Río, Kamil Bielak, David I. Forrester, Gerald Dirnberger, Ignacio Barbeito, Gediminas Brazaitis, Indrė Ruškytkė, Lluís Coll, Marek Fabrika, Lars Drössler, Magnus Löf, Hubert Sterba, Václav Hurt, Viktor Kurylyak, Fabio Lombardi, Dejan Stojanović, Jan Den Ouden, Renzo Motta, Maciej Pach, Jerzy Skrzyszewski, Quentin Ponette, Géraud De Streel, Vit Sramek, Tomáš Čihák, Tzvetan M. Zlatanov, Admir Avdagic, Christian Ammer, Kris Verheyen, Buraczyk Włodzimierz, Andrés Bravo-Oviedo, Hans Pretzsch |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 25% |
| Austria | 1 | 13% |
| France | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
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 | 18 | 35% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 38% |
| Environmental Science | 16 | 31% |
| Economics, Econometrics and Finance | 2 | 4% |
| Computer Science | 1 | 2% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 14 September 2017.
All research outputs
#2,655,907
of 25,382,440 outputs
Outputs from Annals of Forest Science
#87
of 942 outputs
Outputs of similar age
#48,229
of 324,143 outputs
Outputs of similar age from Annals of Forest Science
#2
of 11 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 particularly well, scoring higher than 90% 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 324,143 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 85% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.