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Web crawling based context aware recommender system using optimized deep recurrent neural network

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

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
20 Mendeley
Title
Web crawling based context aware recommender system using optimized deep recurrent neural network
Published in
Journal of Big Data, November 2021
DOI 10.1186/s40537-021-00534-7
Authors

Venugopal Boppana, P. Sandhya

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 10 50%
Readers by discipline Count As %
Computer Science 6 30%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Engineering 1 5%
Design 1 5%
Other 0 0%
Unknown 10 50%

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 24 November 2021.
All research outputs
#20,059,563
of 22,549,926 outputs
Outputs from Journal of Big Data
#311
of 328 outputs
Outputs of similar age
#434,882
of 520,991 outputs
Outputs of similar age from Journal of Big Data
#44
of 50 outputs
Altmetric has tracked 22,549,926 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 328 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 520,991 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 50 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.