| Title |
Estimating ozone risks using forest monitoring networks—results for science, policy, and society
|
|---|---|
| Published in |
Annals of Forest Science , December 2014
|
| DOI | 10.1007/s13595-014-0440-y |
| Authors |
Antonella Cristofori, Giovanni Bacaro, Mauro Confalonieri, Fabiana Cristofolini, Luisa Frati, Francesco Geri, Elena Gottardini, Gabriele Tonidandel, Fabio Zottele, Marco Ferretti |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Other | 2 | 13% |
| Researcher | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 4 | 27% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 6 | 40% |
| Agricultural and Biological Sciences | 3 | 20% |
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Psychology | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
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 15 December 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Annals of Forest Science
#904
of 942 outputs
Outputs of similar age
#267,863
of 360,792 outputs
Outputs of similar age from Annals of Forest Science
#21
of 24 outputs
Altmetric has tracked 25,374,917 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 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% 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 360,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.