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Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies

Overview of attention for article published in BMC Nephrology, May 2020
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1 X user

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27 Mendeley
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Title
Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies
Published in
BMC Nephrology, May 2020
DOI 10.1186/s12882-020-01786-w
Pubmed ID
Authors

Yang Li, Xiaohong Chen, Yimei Wang, Jiachang Hu, Ziyan Shen, Xiaoqiang Ding

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Other 4 15%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 11 41%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Nursing and Health Professions 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Business, Management and Accounting 1 4%
Psychology 1 4%
Other 3 11%
Unknown 12 44%
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 07 May 2020.
All research outputs
#20,616,427
of 23,206,358 outputs
Outputs from BMC Nephrology
#2,225
of 2,510 outputs
Outputs of similar age
#326,756
of 381,865 outputs
Outputs of similar age from BMC Nephrology
#61
of 71 outputs
Altmetric has tracked 23,206,358 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 2,510 research outputs from this source. They receive a mean Attention Score of 4.8. 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 381,865 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 71 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.