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X Demographics
Mendeley readers
Attention Score in Context
Title |
Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning
|
---|---|
Published in |
Remote Sensing, February 2023
|
DOI | 10.3390/rs15041165 |
Authors |
Carine Klauberg, Jason Vogel, Ricardo Dalagnol, Matheus Pinheiro Ferreira, Caio Hamamura, Eben Broadbent, Carlos Alberto Silva |
X Demographics
The data shown below were collected from the profiles of 30 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 | 6 | 20% |
Mexico | 4 | 13% |
Brazil | 3 | 10% |
Canada | 2 | 7% |
Belgium | 1 | 3% |
Sweden | 1 | 3% |
India | 1 | 3% |
Czechia | 1 | 3% |
Unknown | 11 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 53% |
Members of the public | 13 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 29% |
Student > Ph. D. Student | 4 | 24% |
Student > Master | 2 | 12% |
Researcher | 2 | 12% |
Professor > Associate Professor | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 29% |
Environmental Science | 4 | 24% |
Computer Science | 2 | 12% |
Engineering | 2 | 12% |
Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 01 September 2023.
All research outputs
#1,330,252
of 25,457,297 outputs
Outputs from Remote Sensing
#290
of 13,445 outputs
Outputs of similar age
#28,191
of 427,816 outputs
Outputs of similar age from Remote Sensing
#11
of 467 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,445 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 427,816 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 93% of its contemporaries.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.