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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
|
|---|---|
| Published in |
Frontiers in Environmental Science, January 2022
|
| DOI | 10.3389/fenvs.2021.789995 |
| Authors |
Mohammad Ehteram, Fatemeh Panahi, Ali Najah Ahmed, Amir H. Mosavi, Ahmed El-Shafie |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Unspecified | 3 | 10% |
| Other | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 23% |
| Computer Science | 4 | 13% |
| Unspecified | 3 | 10% |
| Chemical Engineering | 1 | 3% |
| Unknown | 16 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 January 2022.
All research outputs
#15,328,720
of 22,880,230 outputs
Outputs from Frontiers in Environmental Science
#1,106
of 3,271 outputs
Outputs of similar age
#278,572
of 503,781 outputs
Outputs of similar age from Frontiers in Environmental Science
#66
of 314 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,271 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 64% 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 503,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.