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Twitter sentiment analysis: An Arabic text mining approach based on COVID-19

Overview of attention for article published in Frontiers in Public Health, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Twitter sentiment analysis: An Arabic text mining approach based on COVID-19
Published in
Frontiers in Public Health, October 2022
DOI 10.3389/fpubh.2022.966779
Pubmed ID
Authors

Saleh Albahli

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 5%
Other 2 5%
Lecturer 2 5%
Student > Master 2 5%
Researcher 2 5%
Other 4 10%
Unknown 27 66%
Readers by discipline Count As %
Social Sciences 3 7%
Computer Science 3 7%
Unspecified 1 2%
Economics, Econometrics and Finance 1 2%
Arts and Humanities 1 2%
Other 4 10%
Unknown 28 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2022.
All research outputs
#8,462,878
of 25,263,619 outputs
Outputs from Frontiers in Public Health
#3,441
of 13,789 outputs
Outputs of similar age
#152,898
of 433,985 outputs
Outputs of similar age from Frontiers in Public Health
#269
of 1,451 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 74% 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 433,985 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 62% of its contemporaries.
We're also able to compare this research output to 1,451 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.