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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting
|
---|---|
Chapter number | 3 |
Book title |
Engineering Applications of Neural Networks
|
Published in |
arXiv, May 2019
|
DOI | 10.1007/978-3-030-20257-6_3 |
Book ISBNs |
978-3-03-020256-9, 978-3-03-020257-6
|
Authors |
Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 21% |
Student > Master | 5 | 13% |
Researcher | 3 | 8% |
Professor > Associate Professor | 2 | 5% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 10% |
Unknown | 16 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 21% |
Engineering | 7 | 18% |
Business, Management and Accounting | 2 | 5% |
Energy | 2 | 5% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 18 | 46% |
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 29 March 2019.
All research outputs
#19,611,910
of 24,980,180 outputs
Outputs from arXiv
#470,474
of 1,018,032 outputs
Outputs of similar age
#253,969
of 356,217 outputs
Outputs of similar age from arXiv
#12,333
of 25,968 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 43rd percentile – i.e., 43% 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 356,217 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,968 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.