You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction
|
---|---|
Chapter number | 31 |
Book title |
Advances in Computing and Data Sciences
|
Published in |
arXiv, April 2019
|
DOI | 10.1007/978-981-13-9939-8_31 |
Book ISBNs |
978-9-81-139938-1, 978-9-81-139939-8
|
Authors |
Shangeth Rajaa, Jajati Keshari Sahoo, Rajaa, Shangeth, Sahoo, Jajati Keshari |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 11% |
United States | 1 | 11% |
United Kingdom | 1 | 11% |
Puerto Rico | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 29% |
Student > Master | 7 | 23% |
Researcher | 3 | 10% |
Student > Doctoral Student | 2 | 6% |
Professor | 1 | 3% |
Other | 3 | 10% |
Unknown | 6 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 26% |
Engineering | 5 | 16% |
Economics, Econometrics and Finance | 4 | 13% |
Business, Management and Accounting | 3 | 10% |
Physics and Astronomy | 3 | 10% |
Other | 2 | 6% |
Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 May 2019.
All research outputs
#8,296,434
of 24,980,180 outputs
Outputs from arXiv
#174,311
of 1,018,032 outputs
Outputs of similar age
#143,915
of 359,135 outputs
Outputs of similar age from arXiv
#5,148
of 25,406 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 82% of its peers.
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 359,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 25,406 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.