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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Hybrid Model for Power Consumption Forecasting Using VMD-Based the Long Short-Term Memory Neural Network
|
|---|---|
| Published in |
Frontiers in Energy Research, January 2022
|
| DOI | 10.3389/fenrg.2021.772508 |
| Authors |
Yingjun Ruan, Gang Wang, Hua Meng, Fanyue Qian |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Lecturer | 2 | 8% |
| Professor | 2 | 8% |
| Student > Master | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 17% |
| Physics and Astronomy | 2 | 8% |
| Energy | 1 | 4% |
| Unknown | 17 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 August 2023.
All research outputs
#7,974,776
of 24,682,395 outputs
Outputs from Frontiers in Energy Research
#257
of 4,158 outputs
Outputs of similar age
#172,509
of 513,140 outputs
Outputs of similar age from Frontiers in Energy Research
#23
of 371 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,158 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 93% 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 513,140 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 371 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 94% of its contemporaries.