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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence based real-time earthquake prediction
|
|---|---|
| Published in |
Engineering Applications of Artificial Intelligence, April 2023
|
| DOI | 10.1016/j.engappai.2023.105856 |
| Authors |
Munish Bhatia, Tariq Ahamed Ahanger, Ankush Manocha |
X Demographics
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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 10% |
| Student > Master | 4 | 7% |
| Lecturer | 3 | 5% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 33 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 16% |
| Computer Science | 6 | 10% |
| Arts and Humanities | 2 | 3% |
| Social Sciences | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 33 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 14 August 2024.
All research outputs
#2,726,829
of 26,462,556 outputs
Outputs from Engineering Applications of Artificial Intelligence
#24
of 851 outputs
Outputs of similar age
#53,006
of 431,863 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#1
of 33 outputs
Altmetric has tracked 26,462,556 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 851 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 431,863 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 87% of its contemporaries.
We're also able to compare this research output to 33 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 96% of its contemporaries.