| Title |
LiDAR-Assisted Multi-Source Program (LAMP) for Measuring Above Ground Biomass and Forest Carbon
|
|---|---|
| Published in |
Remote Sensing, February 2017
|
| DOI | 10.3390/rs9020154 |
| Authors |
Tuomo Kauranne, Anup Joshi, Basanta Gautam, Ugan Manandhar, Santosh Nepal, Jussi Peuhkurinen, Jarno Hämäläinen, Virpi Junttila, Katja Gunia, Petri Latva-Käyrä, Alexander Kolesnikov, Katri Tegel, Vesa Leppänen |
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 % |
|---|---|---|
| Netherlands | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Researcher | 10 | 18% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 17 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 12 | 22% |
| Agricultural and Biological Sciences | 5 | 9% |
| Earth and Planetary Sciences | 5 | 9% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 25 | 45% |
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 22 February 2017.
All research outputs
#14,979,510
of 25,837,817 outputs
Outputs from Remote Sensing
#5,173
of 13,720 outputs
Outputs of similar age
#224,957
of 438,525 outputs
Outputs of similar age from Remote Sensing
#81
of 297 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 13,720 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 62% 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 438,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 297 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 71% of its contemporaries.