| Title |
Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data
|
|---|---|
| Published in |
Forest Ecosystems, January 2021
|
| DOI | 10.1186/s40663-021-00338-4 |
| Authors |
Marius Hauglin, Johannes Rahlf, Johannes Schumacher, Rasmus Astrup, Johannes Breidenbach |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 21% |
| Norway | 2 | 14% |
| United Kingdom | 1 | 7% |
| Finland | 1 | 7% |
| Czechia | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 64% |
| Members of the public | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
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 % |
|---|---|---|
| Student > Master | 9 | 21% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 4 | 9% |
| Other | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 23% |
| Agricultural and Biological Sciences | 7 | 16% |
| Earth and Planetary Sciences | 6 | 14% |
| Unspecified | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
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 11 November 2021.
All research outputs
#4,283,608
of 25,392,582 outputs
Outputs from Forest Ecosystems
#45
of 356 outputs
Outputs of similar age
#108,426
of 519,506 outputs
Outputs of similar age from Forest Ecosystems
#3
of 11 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 87% 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 519,506 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 79% 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 gotten more attention than average, scoring higher than 72% of its contemporaries.