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Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

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

twitter
1 X user

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
180 Mendeley
Title
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging
Published in
Journal of Big Data, May 2021
DOI 10.1186/s40537-021-00459-1
Authors

Hans Christian, Derwin Suhartono, Andry Chowanda, Kamal Z. Zamli

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

Geographical breakdown

Country Count As %
Unknown 180 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 8%
Student > Bachelor 15 8%
Lecturer 14 8%
Student > Ph. D. Student 11 6%
Other 7 4%
Other 21 12%
Unknown 97 54%
Readers by discipline Count As %
Computer Science 46 26%
Engineering 6 3%
Unspecified 5 3%
Business, Management and Accounting 5 3%
Agricultural and Biological Sciences 4 2%
Other 12 7%
Unknown 102 57%
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 March 2024.
All research outputs
#17,301,000
of 25,397,764 outputs
Outputs from Journal of Big Data
#241
of 391 outputs
Outputs of similar age
#280,646
of 455,524 outputs
Outputs of similar age from Journal of Big Data
#11
of 14 outputs
Altmetric has tracked 25,397,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 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 22nd percentile – i.e., 22% 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 455,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.