| Title |
Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape
|
|---|---|
| Published in |
Ambio, May 2019
|
| DOI | 10.1007/s13280-019-01196-9 |
| Pubmed ID | |
| Authors |
William Lidberg, Mats Nilsson, Anneli Ågren |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Master | 11 | 14% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 31 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 14 | 18% |
| Agricultural and Biological Sciences | 10 | 13% |
| Earth and Planetary Sciences | 7 | 9% |
| Computer Science | 4 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 34 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 March 2020.
All research outputs
#15,120,836
of 25,837,817 outputs
Outputs from Ambio
#1,609
of 1,954 outputs
Outputs of similar age
#183,782
of 366,971 outputs
Outputs of similar age from Ambio
#26
of 32 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 14th percentile – i.e., 14% 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 366,971 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.