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Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection

Overview of attention for article published in BioData Mining, August 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
22 Mendeley
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Title
Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection
Published in
BioData Mining, August 2021
DOI 10.1186/s13040-021-00271-w
Pubmed ID
Authors

Inese Polaka, Danute Razuka-Ebela, Jin Young Park, Marcis Leja

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 18%
Researcher 2 9%
Professor 1 5%
Other 1 5%
Unknown 14 64%
Readers by discipline Count As %
Engineering 3 14%
Computer Science 2 9%
Nursing and Health Professions 1 5%
Chemistry 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 14 64%
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 30 August 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from BioData Mining
#232
of 313 outputs
Outputs of similar age
#248,451
of 430,033 outputs
Outputs of similar age from BioData Mining
#9
of 11 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 18th percentile – i.e., 18% 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 430,033 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.