| Title |
Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
|
|---|---|
| Published in |
Forest Ecosystems, February 2016
|
| DOI | 10.1186/s40663-016-0064-9 |
| Authors |
Göran Ståhl, Svetlana Saarela, Sebastian Schnell, Sören Holm, Johannes Breidenbach, Sean P. Healey, Paul L. Patterson, Steen Magnussen, Erik Næsset, Ronald E. McRoberts, Timothy G. Gregoire |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 9% |
| Japan | 1 | 9% |
| United Kingdom | 1 | 9% |
| Spain | 1 | 9% |
| Canada | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 27% |
| Student > Master | 12 | 12% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Doctoral Student | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 33 | 32% |
| Agricultural and Biological Sciences | 17 | 17% |
| Earth and Planetary Sciences | 14 | 14% |
| Engineering | 4 | 4% |
| Computer Science | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 30 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 November 2022.
All research outputs
#5,507,658
of 26,017,215 outputs
Outputs from Forest Ecosystems
#66
of 393 outputs
Outputs of similar age
#77,124
of 315,259 outputs
Outputs of similar age from Forest Ecosystems
#2
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 80% 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 315,259 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 75% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.