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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil
|
|---|---|
| Published in |
Brazilian Journal of Geology, January 2021
|
| DOI | 10.1590/2317-4889202120200105 |
| Authors |
Helen Cristina Dias, Lucas Henrique Sandre, Diego Alejandro Satizábal Alarcón, Carlos Henrique Grohmann, José Alberto Quintanilha |
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 % |
|---|---|---|
| Brazil | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 9% |
| Engineering | 2 | 9% |
| Earth and Planetary Sciences | 2 | 9% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 13 | 57% |
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 23 December 2021.
All research outputs
#12,838,161
of 22,753,345 outputs
Outputs from Brazilian Journal of Geology
#26
of 66 outputs
Outputs of similar age
#218,635
of 498,645 outputs
Outputs of similar age from Brazilian Journal of Geology
#3
of 4 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 66 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 60% 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 498,645 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 55% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.