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Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)

Overview of attention for article published in Journal of Big Data, March 2021
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Mentioned by

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1 X user

Readers on

mendeley
303 Mendeley
Title
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
Published in
Journal of Big Data, March 2021
DOI 10.1186/s40537-021-00430-0
Pubmed ID
Authors

Widodo Budiharto

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 303 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 10%
Lecturer 25 8%
Student > Bachelor 23 8%
Student > Ph. D. Student 15 5%
Researcher 10 3%
Other 30 10%
Unknown 170 56%
Readers by discipline Count As %
Computer Science 48 16%
Economics, Econometrics and Finance 18 6%
Business, Management and Accounting 16 5%
Engineering 9 3%
Mathematics 7 2%
Other 31 10%
Unknown 174 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 16 March 2021.
All research outputs
#20,692,340
of 23,289,753 outputs
Outputs from Journal of Big Data
#334
of 351 outputs
Outputs of similar age
#362,224
of 422,665 outputs
Outputs of similar age from Journal of Big Data
#16
of 16 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 1st percentile – i.e., 1% 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 422,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.