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Proceedings of the Fifteenth International Conference on Management Science and Engineering Management

Overview of attention for book
Proceedings of the Fifteenth International Conference on Management Science and Engineering…
Springer International Publishing
Attention for Chapter: Motif Analysis in Internet of the Things Platform for Wind Turbine Maintenance Management
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1 X user

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7 Mendeley
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Chapter title
Motif Analysis in Internet of the Things Platform for Wind Turbine Maintenance Management
Book title
Proceedings of the Fifteenth International Conference on Management Science and Engineering Management
Published in
Lecture Notes on Data Engineering and Communications Technologies, July 2021
DOI 10.1007/978-3-030-79203-9_7
Book ISBNs
978-3-03-079202-2, 978-3-03-079203-9
Authors

Ramirez, Isaac Segovia, Urioso, Eduardo Cruz, Peco, Ana María, Kotorov, Rado, Chi, Lianhua, Padhye, Raunaq G., Bhatia, Amanjeet S., Muñoz, Carlos Quiterio Gomez, García Márquez, Fausto Pedro, Segovia Ramírez, Isaac, Cruz Urioso, Eduardo, Peco Chacón, Ana María, Gómez Muñoz, Carlos Quiterio

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X Demographics

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.
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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Librarian 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Business, Management and Accounting 1 14%
Engineering 1 14%
Design 1 14%
Unknown 4 57%
Attention Score in Context

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 26 April 2022.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Lecture Notes on Data Engineering and Communications Technologies
#1
of 1 outputs
Outputs of similar age
#275,138
of 449,374 outputs
Outputs of similar age from Lecture Notes on Data Engineering and Communications Technologies
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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 449,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them