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A profile-based sentiment-aware approach for depression detection in social media

Overview of attention for article published in EPJ Data Science, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
43 Mendeley
Title
A profile-based sentiment-aware approach for depression detection in social media
Published in
EPJ Data Science, November 2021
DOI 10.1140/epjds/s13688-021-00309-3
Authors

José de Jesús Titla-Tlatelpa, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 12%
Student > Doctoral Student 3 7%
Researcher 3 7%
Student > Master 2 5%
Professor 1 2%
Other 1 2%
Unknown 28 65%
Readers by discipline Count As %
Computer Science 6 14%
Psychology 2 5%
Arts and Humanities 1 2%
Agricultural and Biological Sciences 1 2%
Linguistics 1 2%
Other 2 5%
Unknown 30 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 November 2021.
All research outputs
#7,338,030
of 23,310,485 outputs
Outputs from EPJ Data Science
#324
of 382 outputs
Outputs of similar age
#146,712
of 440,027 outputs
Outputs of similar age from EPJ Data Science
#7
of 9 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 15th percentile – i.e., 15% 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 440,027 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 66% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.