↓ Skip to main content

GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia

Overview of attention for article published in Sensors, September 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia
Published in
Sensors, September 2021
DOI 10.3390/s21196520
Pubmed ID
Authors

Ivan Novkovic, Goran B. Markovic, Djordje Lukic, Slavoljub Dragicevic, Marko Milosevic, Snezana Djurdjic, Ivan Samardzic, Tijana Lezaic, Marija Tadic

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Other 10 10%
Student > Ph. D. Student 10 10%
Researcher 6 6%
Lecturer 4 4%
Student > Doctoral Student 4 4%
Other 16 16%
Unknown 50 50%
Readers by discipline Count As %
Earth and Planetary Sciences 11 11%
Environmental Science 10 10%
Engineering 7 7%
Computer Science 5 5%
Unspecified 4 4%
Other 8 8%
Unknown 55 55%
Attention Score in Context

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 23 March 2023.
All research outputs
#20,669,432
of 25,392,582 outputs
Outputs from Sensors
#14,421
of 24,325 outputs
Outputs of similar age
#328,597
of 435,697 outputs
Outputs of similar age from Sensors
#510
of 973 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,325 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 435,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 973 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.