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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A hybrid deep learning model with error correction for photovoltaic power forecasting
|
|---|---|
| Published in |
Frontiers in Energy Research, August 2022
|
| DOI | 10.3389/fenrg.2022.948308 |
| Authors |
Rongquan Zhang, Gangqiang Li, Siqi Bu, Guowen Kuang, Wei He, Yuxiang Zhu, Saddam Aziz |
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 % |
|---|---|---|
| Switzerland | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Unspecified | 2 | 11% |
| Researcher | 2 | 11% |
| Lecturer | 1 | 6% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 17% |
| Unspecified | 2 | 11% |
| Energy | 1 | 6% |
| Unknown | 12 | 67% |
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 10 September 2022.
All research outputs
#20,705,128
of 23,305,591 outputs
Outputs from Frontiers in Energy Research
#1,330
of 3,444 outputs
Outputs of similar age
#344,925
of 434,604 outputs
Outputs of similar age from Frontiers in Energy Research
#52
of 382 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,444 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% 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 434,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.