↓ Skip to main content

Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models

Overview of attention for article published in Frontiers in Public Health, July 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
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.
Title
Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models
Published in
Frontiers in Public Health, July 2023
DOI 10.3389/fpubh.2023.1191730
Pubmed ID
Authors

Christos Stefanis, Elpida Giorgi, Konstantinos Kalentzis, Athanasios Tselemponis, Evangelia Nena, Christina Tsigalou, Christos Kontogiorgis, Yiannis Kourkoutas, Ekaterini Chatzak, Ioannis Dokas, Theodoros Constantinidis, Eugenia Bezirtzoglou

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Unspecified 1 10%
Lecturer 1 10%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 2 20%
Unspecified 1 10%
Business, Management and Accounting 1 10%
Medicine and Dentistry 1 10%
Unknown 5 50%
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 03 August 2023.
All research outputs
#17,196,269
of 25,262,379 outputs
Outputs from Frontiers in Public Health
#6,164
of 13,788 outputs
Outputs of similar age
#198,734
of 350,638 outputs
Outputs of similar age from Frontiers in Public Health
#301
of 846 outputs
Altmetric has tracked 25,262,379 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 13,788 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 51% 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 350,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 846 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.