| Title |
Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors
|
|---|---|
| Published in |
Forest Ecosystems, July 2020
|
| DOI | 10.1186/s40663-020-00245-0 |
| Authors |
Svetlana Saarela, André Wästlund, Emma Holmström, Alex Appiah Mensah, Sören Holm, Mats Nilsson, Jonas Fridman, Göran Ståhl |
X Demographics
The data shown below were collected from the profiles of 10 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 | 1 | 10% |
| Finland | 1 | 10% |
| Brazil | 1 | 10% |
| United States | 1 | 10% |
| Norway | 1 | 10% |
| Czechia | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 15 | 17% |
| Researcher | 13 | 15% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 6 | 7% |
| Other | 6 | 7% |
| Unknown | 25 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 18 | 20% |
| Earth and Planetary Sciences | 13 | 15% |
| Agricultural and Biological Sciences | 8 | 9% |
| Engineering | 5 | 6% |
| Computer Science | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 38 | 43% |
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 05 October 2020.
All research outputs
#5,374,479
of 26,017,215 outputs
Outputs from Forest Ecosystems
#63
of 393 outputs
Outputs of similar age
#125,756
of 434,924 outputs
Outputs of similar age from Forest Ecosystems
#5
of 12 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 79th 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 81% 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 434,924 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.