| Title |
Bioindication and modelling of atmospheric deposition in forests enable exposure and effect monitoring at high spatial density across scales
|
|---|---|
| Published in |
Annals of Forest Science , April 2017
|
| DOI | 10.1007/s13595-017-0621-6 |
| Authors |
Winfried Schröder, Stefan Nickel, Simon Schönrock, Roman Schmalfuß, Werner Wosniok, Michaela Meyer, Harry Harmens, Marina V. Frontasyeva, Renate Alber, Julia Aleksiayenak, Lambe Barandovski, Oleg Blum, Alejo Carballeira, Maria Dam, Helena Danielsson, Ludwig De Temmermann, Anatoly M. Dunaev, Barbara Godzik, Katrin Hoydal, Zvonka Jeran, Gunilla Pihl Karlsson, Pranvera Lazo, Sebastien Leblond, Jussi Lindroos, Siiri Liiv, Sigurður H. Magnússon, Blanka Mankovska, Encarnación Núñez-Olivera, Juha Piispanen, Jarmo Poikolainen, Ion V. Popescu, Flora Qarri, Jesus Miguel Santamaria, Mitja Skudnik, Zdravko Špirić, Trajce Stafilov, Eiliv Steinnes, Claudia Stihi, Ivan Suchara, Lotti Thöni, Hilde Thelle Uggerud, Harald G. Zechmeister |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Ph. D. Student | 7 | 16% |
| Professor | 5 | 12% |
| Professor > Associate Professor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 40% |
| Chemistry | 6 | 14% |
| Agricultural and Biological Sciences | 4 | 9% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 June 2017.
All research outputs
#4,314,251
of 25,382,440 outputs
Outputs from Annals of Forest Science
#367
of 942 outputs
Outputs of similar age
#71,811
of 324,855 outputs
Outputs of similar age from Annals of Forest Science
#18
of 23 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 82nd 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 gotten more attention than average, scoring higher than 57% 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 324,855 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 77% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.