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Design and analysis of tweet-based election models for the 2021 Mexican legislative election

Overview of attention for article published in EPJ Data Science, July 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
Title
Design and analysis of tweet-based election models for the 2021 Mexican legislative election
Published in
EPJ Data Science, July 2023
DOI 10.1140/epjds/s13688-023-00401-w
Authors

Alejandro Vigna-Gómez, Javier Murillo, Manelik Ramirez, Alberto Borbolla, Ian Márquez, Prasun K. Ray

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 11%
Student > Master 2 11%
Other 1 5%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 3 16%
Unknown 9 47%
Readers by discipline Count As %
Computer Science 3 16%
Social Sciences 2 11%
Nursing and Health Professions 1 5%
Environmental Science 1 5%
Mathematics 1 5%
Other 1 5%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 July 2023.
All research outputs
#7,432,068
of 25,729,842 outputs
Outputs from EPJ Data Science
#359
of 457 outputs
Outputs of similar age
#116,955
of 370,084 outputs
Outputs of similar age from EPJ Data Science
#6
of 11 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one is in the 21st percentile – i.e., 21% 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 370,084 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 68% of its contemporaries.
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 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.