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Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis

Overview of attention for article published in BMC Medical Genomics, July 2020
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Mentioned by

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1 X user

Citations

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24 Dimensions

Readers on

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19 Mendeley
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Title
Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis
Published in
BMC Medical Genomics, July 2020
DOI 10.1186/s12920-020-00754-5
Pubmed ID
Authors

Junguo Zhang, Xin Huang, Xiaojie Wang, Yanhui Gao, Li Liu, Ziyi Li, Xuejiao Chen, Jie Zeng, Zebing Ye, Guowei Li

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 16%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Lecturer > Senior Lecturer 1 5%
Other 3 16%
Unknown 7 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Medicine and Dentistry 4 21%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Energy 1 5%
Other 0 0%
Unknown 7 37%
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 20 July 2020.
All research outputs
#20,629,784
of 23,221,875 outputs
Outputs from BMC Medical Genomics
#1,021
of 1,245 outputs
Outputs of similar age
#341,921
of 399,278 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 25 outputs
Altmetric has tracked 23,221,875 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 1,245 research outputs from this source. They receive a mean Attention Score of 4.7. 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 399,278 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 25 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.