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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recurrent Neural Networks for Short-Term Load Forecasting
|
|---|---|
| Published by |
arXiv, November 2017
|
| DOI | 10.1007/978-3-319-70338-1 |
| ISBNs |
978-3-31-970337-4, 978-3-31-970338-1
|
| Authors |
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen, Bianchi, Filippo Maria, Maiorino, Enrico, Kampffmeyer, Michael C., Rizzi, Antonello, Jenssen, Robert |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 479 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 479 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 99 | 21% |
| Student > Master | 92 | 19% |
| Researcher | 36 | 8% |
| Student > Bachelor | 36 | 8% |
| Other | 22 | 5% |
| Other | 68 | 14% |
| Unknown | 126 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 146 | 30% |
| Engineering | 113 | 24% |
| Business, Management and Accounting | 10 | 2% |
| Mathematics | 10 | 2% |
| Energy | 10 | 2% |
| Other | 43 | 9% |
| Unknown | 147 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 June 2022.
All research outputs
#6,371,766
of 24,226,848 outputs
Outputs from arXiv
#131,212
of 1,027,652 outputs
Outputs of similar age
#99,769
of 335,645 outputs
Outputs of similar age from arXiv
#2,662
of 22,498 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,027,652 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 335,645 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 69% of its contemporaries.
We're also able to compare this research output to 22,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.