↓ Skip to main content
What is this page? Embed badge

RHMD: A Real-World Dataset for Health Mention Classification on Reddit

Overview of attention for article published in IEEE Transactions on Computational Social Systems, January 2022
Altmetric Badge

Mentioned by

reddit
1 Redditor

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
Summary Reddit Dimensions citations
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
RHMD: A Real-World Dataset for Health Mention Classification on Reddit
Published in
IEEE Transactions on Computational Social Systems, January 2022
DOI 10.1109/tcss.2022.3186883
Authors

Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn

View on publisher site

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Student > Ph. D. Student 1 13%
Professor 1 13%
Unknown 4 50%
Readers by discipline Count As %
Nursing and Health Professions 1 13%
Business, Management and Accounting 1 13%
Computer Science 1 13%
Unknown 5 63%

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 28 August 2022.
All research outputs
#20,608,970
of 23,197,711 outputs
Outputs from IEEE Transactions on Computational Social Systems
#105
of 117 outputs
Outputs of similar age
#414,470
of 506,431 outputs
Outputs of similar age from IEEE Transactions on Computational Social Systems
#21
of 23 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 117 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 1st percentile – i.e., 1% 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 506,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.