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Big data integration shows Australian bush-fire frequency is increasing significantly

Overview of attention for article published in Royal Society Open Science, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
24 news outlets
blogs
7 blogs
twitter
83 X users

Citations

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104 Dimensions

Readers on

mendeley
161 Mendeley
Title
Big data integration shows Australian bush-fire frequency is increasing significantly
Published in
Royal Society Open Science, February 2016
DOI 10.1098/rsos.150241
Pubmed ID
Authors

Ritaban Dutta, Aruneema Das, Jagannath Aryal

Abstract

Increasing Australian bush-fire frequencies over the last decade has indicated a major climatic change in coming future. Understanding such climatic change for Australian bush-fire is limited and there is an urgent need of scientific research, which is capable enough to contribute to Australian society. Frequency of bush-fire carries information on spatial, temporal and climatic aspects of bush-fire events and provides contextual information to model various climate data for accurately predicting future bush-fire hot spots. In this study, we develop an ensemble method based on a two-layered machine learning model to establish relationship between fire incidence and climatic data. In a 336 week data trial, we demonstrate that the model provides highly accurate bush-fire incidence hot-spot estimation (91% global accuracy) from the weekly climatic surfaces. Our analysis also indicates that Australian weekly bush-fire frequencies increased by 40% over the last 5 years, particularly during summer months, implicating a serious climatic shift.

X Demographics

X Demographics

The data shown below were collected from the profiles of 83 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 160 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 22%
Student > Master 20 12%
Student > Ph. D. Student 19 12%
Student > Bachelor 15 9%
Other 8 5%
Other 22 14%
Unknown 41 25%
Readers by discipline Count As %
Environmental Science 34 21%
Engineering 14 9%
Earth and Planetary Sciences 14 9%
Computer Science 13 8%
Agricultural and Biological Sciences 8 5%
Other 23 14%
Unknown 55 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 283. 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 26 March 2023.
All research outputs
#126,832
of 26,017,215 outputs
Outputs from Royal Society Open Science
#181
of 4,842 outputs
Outputs of similar age
#2,157
of 411,890 outputs
Outputs of similar age from Royal Society Open Science
#4
of 89 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.0. This one has done particularly well, scoring higher than 96% 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 411,890 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 99% of its contemporaries.
We're also able to compare this research output to 89 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 95% of its contemporaries.