↓ Skip to main content

Modelling shares choice to enter in a portfolio using artificial neural networks (ANN)

Overview of attention for article published in Journal of Big Data, March 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
21 Mendeley
Title
Modelling shares choice to enter in a portfolio using artificial neural networks (ANN)
Published in
Journal of Big Data, March 2020
DOI 10.1186/s40537-020-00294-w
Authors

Adler Haymans Manurung, Christina Natasha, 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Other 3 14%
Lecturer 3 14%
Professor 2 10%
Student > Bachelor 2 10%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Business, Management and Accounting 5 24%
Mathematics 2 10%
Computer Science 2 10%
Economics, Econometrics and Finance 2 10%
Linguistics 1 5%
Other 4 19%
Unknown 5 24%
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 May 2022.
All research outputs
#15,687,628
of 23,312,088 outputs
Outputs from Journal of Big Data
#208
of 351 outputs
Outputs of similar age
#224,709
of 363,278 outputs
Outputs of similar age from Journal of Big Data
#8
of 12 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 11.4. This one is in the 25th percentile – i.e., 25% 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 363,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.