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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AutoML-GWL: Automated machine learning model for the prediction of groundwater level
|
|---|---|
| Published in |
Engineering Applications of Artificial Intelligence, January 2024
|
| DOI | 10.1016/j.engappai.2023.107405 |
| Authors |
Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 13% |
| United States | 1 | 3% |
| Unknown | 25 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 77% |
| Scientists | 5 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 17% |
| Engineering | 6 | 14% |
| Unspecified | 4 | 10% |
| Agricultural and Biological Sciences | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 21 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 03 January 2024.
All research outputs
#2,039,531
of 26,274,958 outputs
Outputs from Engineering Applications of Artificial Intelligence
#16
of 840 outputs
Outputs of similar age
#32,388
of 376,683 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#1
of 24 outputs
Altmetric has tracked 26,274,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 840 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% 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 376,683 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 91% of its contemporaries.
We're also able to compare this research output to 24 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.