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Data mining in clinical big data: the frequently used databases, steps, and methodological models

Overview of attention for article published in Military Medical Research, August 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
265 Dimensions

Readers on

mendeley
269 Mendeley
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Title
Data mining in clinical big data: the frequently used databases, steps, and methodological models
Published in
Military Medical Research, August 2021
DOI 10.1186/s40779-021-00338-z
Pubmed ID
Authors

Wen-Tao Wu, Yuan-Jie Li, Ao-Zi Feng, Li Li, Tao Huang, An-Ding Xu, Jun Lyu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 269 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 7%
Student > Master 17 6%
Researcher 15 6%
Student > Ph. D. Student 11 4%
Lecturer 8 3%
Other 30 11%
Unknown 169 63%
Readers by discipline Count As %
Computer Science 23 9%
Medicine and Dentistry 14 5%
Engineering 12 4%
Biochemistry, Genetics and Molecular Biology 8 3%
Agricultural and Biological Sciences 7 3%
Other 32 12%
Unknown 173 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 November 2021.
All research outputs
#16,059,145
of 25,392,582 outputs
Outputs from Military Medical Research
#207
of 443 outputs
Outputs of similar age
#232,052
of 436,779 outputs
Outputs of similar age from Military Medical Research
#9
of 14 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 42nd percentile – i.e., 42% 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 436,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.