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Mendeley readers
Attention Score in Context
Title |
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
|
---|---|
Published in |
Environmental Earth Sciences, July 2016
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DOI | 10.1007/s12665-016-5919-4 |
Authors |
Dieu Tien Bui, Tien-Chung Ho, Biswajeet Pradhan, Binh-Thai Pham, Viet-Ha Nhu, Inge Revhaug |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 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% |
Unknown | 197 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 16% |
Student > Master | 29 | 15% |
Student > Bachelor | 16 | 8% |
Researcher | 15 | 8% |
Student > Doctoral Student | 14 | 7% |
Other | 28 | 14% |
Unknown | 64 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 41 | 21% |
Earth and Planetary Sciences | 29 | 15% |
Computer Science | 22 | 11% |
Environmental Science | 13 | 7% |
Social Sciences | 6 | 3% |
Other | 13 | 7% |
Unknown | 74 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 June 2017.
All research outputs
#18,552,700
of 22,977,819 outputs
Outputs from Environmental Earth Sciences
#742
of 1,782 outputs
Outputs of similar age
#281,387
of 364,718 outputs
Outputs of similar age from Environmental Earth Sciences
#37
of 126 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,782 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 50% 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 364,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 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 68% of its contemporaries.