Intelligent Data Engineering and Automated Learning – IDEAL 2020
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
|
|---|---|
| Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2020
|
| Published in |
Lecture notes in computer science, October 2020
|
| DOI | 10.1007/978-3-030-62362-3_32 |
| Book ISBNs |
978-3-03-062361-6, 978-3-03-062362-3
|
| Authors |
Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Cesar Analide, Paulo Novais, Oliveira, Pedro, Fernandes, Bruno, Aguiar, Francisco, Pereira, M. A., Analide, Cesar, Novais, Paulo, Pereira, Maria Alcina |
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 % |
|---|---|---|
| Portugal | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Other | 2 | 13% |
| Student > Ph. D. Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 13% |
| Chemical Engineering | 1 | 7% |
| Unknown | 12 | 80% |
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 05 April 2021.
All research outputs
#18,805,293
of 23,305,591 outputs
Outputs from Lecture notes in computer science
#6,046
of 8,162 outputs
Outputs of similar age
#315,522
of 420,681 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 21 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 420,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.