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Indian stock market prediction using artificial neural networks on tick data

Overview of attention for article published in Financial Innovation, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
118 Mendeley
Title
Indian stock market prediction using artificial neural networks on tick data
Published in
Financial Innovation, March 2019
DOI 10.1186/s40854-019-0131-7
Authors

Dharmaraja Selvamuthu, Vineet Kumar, Abhishek Mishra

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Student > Master 17 14%
Researcher 11 9%
Lecturer 7 6%
Student > Bachelor 7 6%
Other 23 19%
Unknown 32 27%
Readers by discipline Count As %
Computer Science 36 31%
Business, Management and Accounting 11 9%
Economics, Econometrics and Finance 10 8%
Engineering 9 8%
Mathematics 6 5%
Other 8 7%
Unknown 38 32%

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 10 March 2020.
All research outputs
#11,246,233
of 17,375,479 outputs
Outputs from Financial Innovation
#38
of 66 outputs
Outputs of similar age
#239,600
of 403,792 outputs
Outputs of similar age from Financial Innovation
#6
of 10 outputs
Altmetric has tracked 17,375,479 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 66 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 16th percentile – i.e., 16% 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 403,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.