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Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke

Overview of attention for article published in Journal of Translational Medicine, February 2019
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Mentioned by

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1 X user

Citations

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69 Dimensions

Readers on

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62 Mendeley
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Title
Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke
Published in
Journal of Translational Medicine, February 2019
DOI 10.1186/s12967-019-1790-x
Pubmed ID
Authors

Rongjun Zou, Dingwen Zhang, Lei Lv, Wanting Shi, Zijiao Song, Bin Yi, Bingjia Lai, Qian Chen, Songran Yang, Ping Hua

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

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Master 8 13%
Researcher 8 13%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 4 6%
Unknown 25 40%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 7 11%
Neuroscience 5 8%
Agricultural and Biological Sciences 3 5%
Computer Science 3 5%
Other 7 11%
Unknown 27 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 16 February 2019.
All research outputs
#23,391,126
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#3,942
of 4,712 outputs
Outputs of similar age
#400,385
of 462,964 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 93 outputs
Altmetric has tracked 25,837,817 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 4,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 462,964 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 93 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.