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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
|
|---|---|
| Published in |
Environmental Modelling & Software, October 2016
|
| DOI | 10.1016/j.envsoft.2016.07.005 |
| Authors |
Binh Thai Pham, Biswajeet Pradhan, Dieu Tien Bui, Indra Prakash, M.B. Dholakia |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 305 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 16% |
| Student > Master | 32 | 10% |
| Student > Doctoral Student | 28 | 9% |
| Researcher | 26 | 8% |
| Student > Bachelor | 25 | 8% |
| Other | 44 | 14% |
| Unknown | 102 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 63 | 21% |
| Earth and Planetary Sciences | 48 | 16% |
| Environmental Science | 20 | 7% |
| Computer Science | 19 | 6% |
| Mathematics | 6 | 2% |
| Other | 23 | 7% |
| Unknown | 128 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 August 2019.
All research outputs
#4,217,239
of 25,374,917 outputs
Outputs from Environmental Modelling & Software
#227
of 1,538 outputs
Outputs of similar age
#66,049
of 332,577 outputs
Outputs of similar age from Environmental Modelling & Software
#9
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,538 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 85% 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 332,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.