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Causal risk factor discovery for severe acute kidney injury using electronic health records

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2018
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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69 Mendeley
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Title
Causal risk factor discovery for severe acute kidney injury using electronic health records
Published in
BMC Medical Informatics and Decision Making, March 2018
DOI 10.1186/s12911-018-0597-7
Pubmed ID
Authors

Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, Mei Liu

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

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Master 10 14%
Researcher 8 12%
Student > Doctoral Student 5 7%
Professor 4 6%
Other 9 13%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Computer Science 8 12%
Engineering 6 9%
Nursing and Health Professions 4 6%
Psychology 2 3%
Other 7 10%
Unknown 25 36%
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 June 2019.
All research outputs
#20,574,182
of 23,151,189 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,827
of 2,016 outputs
Outputs of similar age
#293,881
of 332,775 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 8 outputs
Altmetric has tracked 23,151,189 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 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. 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 332,775 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 8 others from the same source and published within six weeks on either side of this one.