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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fire-Net: A Deep Learning Framework for Active Forest Fire Detection
|
|---|---|
| Published in |
Journal of Sensors, February 2022
|
| DOI | 10.1155/2022/8044390 |
| Authors |
Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Master | 5 | 6% |
| Lecturer | 5 | 6% |
| Researcher | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 51 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 15% |
| Engineering | 9 | 10% |
| Environmental Science | 3 | 3% |
| Arts and Humanities | 3 | 3% |
| Business, Management and Accounting | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 53 | 60% |
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 26 February 2022.
All research outputs
#21,075,298
of 25,837,817 outputs
Outputs from Journal of Sensors
#304
of 372 outputs
Outputs of similar age
#340,028
of 453,575 outputs
Outputs of similar age from Journal of Sensors
#9
of 13 outputs
Altmetric has tracked 25,837,817 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 372 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 9th percentile – i.e., 9% 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 453,575 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.