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Identification of key genes in atrial fibrillation using bioinformatics analysis

Overview of attention for article published in BMC Cardiovascular Disorders, August 2020
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2 X users

Citations

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5 Dimensions

Readers on

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6 Mendeley
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Title
Identification of key genes in atrial fibrillation using bioinformatics analysis
Published in
BMC Cardiovascular Disorders, August 2020
DOI 10.1186/s12872-020-01653-4
Pubmed ID
Authors

Yueheng Liu, Rui Tang, Ye Zhao, Xuan Jiang, Yuchao Wang, Tianxiang Gu

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 > Ph. D. Student 2 33%
Student > Master 2 33%
Unknown 2 33%
Readers by discipline Count As %
Nursing and Health Professions 1 17%
Energy 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 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 28 August 2020.
All research outputs
#18,078,691
of 23,232,430 outputs
Outputs from BMC Cardiovascular Disorders
#1,087
of 1,665 outputs
Outputs of similar age
#284,594
of 398,685 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#28
of 34 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,665 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 31st percentile – i.e., 31% 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 398,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.