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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Short-Term Wind Power Forecasting Using Mixed Input Feature-Based Cascade-connected Artificial Neural Networks
|
|---|---|
| Published in |
Frontiers in Energy Research, July 2021
|
| DOI | 10.3389/fenrg.2021.634639 |
| Authors |
Qin Chen, Komla Agbenyo Folly |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer > Senior Lecturer | 2 | 13% |
| Student > Master | 2 | 13% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 25% |
| Energy | 2 | 13% |
| Computer Science | 2 | 13% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 October 2022.
All research outputs
#2,883,557
of 23,493,900 outputs
Outputs from Frontiers in Energy Research
#86
of 3,554 outputs
Outputs of similar age
#67,652
of 434,518 outputs
Outputs of similar age from Frontiers in Energy Research
#3
of 217 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,554 research outputs from this source. They receive a mean Attention Score of 1.7. 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 434,518 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 84% of its contemporaries.
We're also able to compare this research output to 217 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 98% of its contemporaries.