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A machine learning approach to determine the influence of specific health conditions on self-rated health across education groups

Overview of attention for article published in BMC Public Health, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
26 Mendeley
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Title
A machine learning approach to determine the influence of specific health conditions on self-rated health across education groups
Published in
BMC Public Health, January 2023
DOI 10.1186/s12889-023-15053-8
Pubmed ID
Authors

Jordi Gumà-Lao, Bruno Arpino

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Unspecified 1 4%
Other 1 4%
Other 2 8%
Unknown 11 42%
Readers by discipline Count As %
Psychology 3 12%
Computer Science 3 12%
Nursing and Health Professions 2 8%
Economics, Econometrics and Finance 2 8%
Business, Management and Accounting 1 4%
Other 4 15%
Unknown 11 42%
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 17 February 2023.
All research outputs
#6,859,984
of 25,387,189 outputs
Outputs from BMC Public Health
#7,338
of 17,160 outputs
Outputs of similar age
#124,423
of 472,421 outputs
Outputs of similar age from BMC Public Health
#145
of 421 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 17,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 57% 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 472,421 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 73% of its contemporaries.
We're also able to compare this research output to 421 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 65% of its contemporaries.