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Combining Pulse Wave Velocity With Galectin-3 to Predict Mortality and Cerebrovascular and Cardiovascular Events in Hemodialysis Patients

Overview of attention for article published in Frontiers in Medicine, October 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

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6 Mendeley
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Title
Combining Pulse Wave Velocity With Galectin-3 to Predict Mortality and Cerebrovascular and Cardiovascular Events in Hemodialysis Patients
Published in
Frontiers in Medicine, October 2020
DOI 10.3389/fmed.2020.579021
Pubmed ID
Authors

Qi Zhang, Kanhua Yin, Mingli Zhu, Xinghui Lin, Yan Fang, Jiayue Lu, Zhenyuan Li, Zhaohui Ni

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Psychology 1 17%
Social Sciences 1 17%
Medicine and Dentistry 1 17%
Unknown 3 50%
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 17 November 2020.
All research outputs
#14,513,547
of 23,253,955 outputs
Outputs from Frontiers in Medicine
#2,566
of 5,940 outputs
Outputs of similar age
#229,157
of 419,536 outputs
Outputs of similar age from Frontiers in Medicine
#129
of 247 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,940 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 52% 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 419,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.