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Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Overview of attention for article published in BMC Medical Research Methodology, December 2018
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About this Attention Score

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

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk
Published in
BMC Medical Research Methodology, December 2018
DOI 10.1186/s12874-018-0644-1
Pubmed ID
Authors

Alexandros C. Dimopoulos, Mara Nikolaidou, Francisco Félix Caballero, Worrawat Engchuan, Albert Sanchez-Niubo, Holger Arndt, José Luis Ayuso-Mateos, Josep Maria Haro, Somnath Chatterji, Ekavi N. Georgousopoulou, Christos Pitsavos, Demosthenes B. Panagiotakos

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 13%
Student > Ph. D. Student 17 12%
Student > Master 17 12%
Student > Bachelor 15 11%
Student > Doctoral Student 8 6%
Other 20 14%
Unknown 45 32%
Readers by discipline Count As %
Computer Science 22 16%
Medicine and Dentistry 21 15%
Engineering 16 11%
Nursing and Health Professions 5 4%
Social Sciences 4 3%
Other 21 15%
Unknown 52 37%

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 18 June 2019.
All research outputs
#4,074,792
of 15,276,424 outputs
Outputs from BMC Medical Research Methodology
#631
of 1,430 outputs
Outputs of similar age
#126,683
of 380,659 outputs
Outputs of similar age from BMC Medical Research Methodology
#122
of 161 outputs
Altmetric has tracked 15,276,424 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,430 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 55% 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 380,659 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 161 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.