| Title |
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
|
|---|---|
| Published in |
Surveys in Geophysics, May 2019
|
| DOI | 10.1007/s10712-019-09529-9 |
| Pubmed ID | |
| Authors |
James R. Kellner, John Armston, Markus Birrer, K. C. Cushman, Laura Duncanson, Christoph Eck, Christoph Falleger, Benedikt Imbach, Kamil Král, Martin Krůček, Jan Trochta, Tomáš Vrška, Carlo Zgraggen |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 27% |
| United Kingdom | 6 | 16% |
| Australia | 3 | 8% |
| Brazil | 3 | 8% |
| New Zealand | 2 | 5% |
| Netherlands | 2 | 5% |
| Spain | 1 | 3% |
| Finland | 1 | 3% |
| Argentina | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 5 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 59% |
| Scientists | 14 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 229 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 16% |
| Student > Ph. D. Student | 35 | 15% |
| Student > Bachelor | 28 | 12% |
| Researcher | 25 | 11% |
| Student > Doctoral Student | 10 | 4% |
| Other | 30 | 13% |
| Unknown | 64 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 19% |
| Engineering | 32 | 14% |
| Earth and Planetary Sciences | 31 | 14% |
| Agricultural and Biological Sciences | 17 | 7% |
| Computer Science | 7 | 3% |
| Other | 18 | 8% |
| Unknown | 81 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 03 September 2019.
All research outputs
#1,573,845
of 26,017,215 outputs
Outputs from Surveys in Geophysics
#22
of 325 outputs
Outputs of similar age
#34,397
of 365,943 outputs
Outputs of similar age from Surveys in Geophysics
#3
of 15 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 92% 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 365,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.