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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

twitter
1 tweeter

Readers on

mendeley
13 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Researcher 3 23%
Student > Ph. D. Student 3 23%
Student > Postgraduate 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Unspecified 3 23%
Neuroscience 3 23%
Agricultural and Biological Sciences 1 8%
Nursing and Health Professions 1 8%
Other 1 8%

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
#11,863,652
of 13,376,849 outputs
Outputs from Journal of Translational Medicine
#2,379
of 2,639 outputs
Outputs of similar age
#216,644
of 255,323 outputs
Outputs of similar age from Journal of Translational Medicine
#2
of 3 outputs
Altmetric has tracked 13,376,849 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 2,639 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 255,323 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 3 others from the same source and published within six weeks on either side of this one.