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Social media text analytics of Malayalam–English code-mixed using deep learning

Overview of attention for article published in Journal of Big Data, April 2022
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Mentioned by

twitter
1 X user

Readers on

mendeley
48 Mendeley
Title
Social media text analytics of Malayalam–English code-mixed using deep learning
Published in
Journal of Big Data, April 2022
DOI 10.1186/s40537-022-00594-3
Pubmed ID
Authors

S. Thara, Prabaharan Poornachandran

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Lecturer 3 6%
Other 2 4%
Student > Master 2 4%
Professor 2 4%
Other 6 13%
Unknown 27 56%
Readers by discipline Count As %
Computer Science 14 29%
Arts and Humanities 1 2%
Unspecified 1 2%
Mathematics 1 2%
Environmental Science 1 2%
Other 2 4%
Unknown 28 58%
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 02 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Journal of Big Data
#335
of 351 outputs
Outputs of similar age
#361,140
of 443,127 outputs
Outputs of similar age from Journal of Big Data
#9
of 11 outputs
Altmetric has tracked 23,312,088 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 11.4. 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 443,127 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 11 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.