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Characterization of Circular RNA and microRNA Profiles in Septic Myocardial Depression: a Lipopolysaccharide-Induced Rat Septic Shock Model

Overview of attention for article published in Inflammation, July 2019
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1 X user

Citations

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23 Mendeley
Title
Characterization of Circular RNA and microRNA Profiles in Septic Myocardial Depression: a Lipopolysaccharide-Induced Rat Septic Shock Model
Published in
Inflammation, July 2019
DOI 10.1007/s10753-019-01060-8
Pubmed ID
Authors

Tie-Ning Zhang, Ni Yang, Julie E. Goodwin, Kali Mahrer, Da Li, Jing Xia, Ri Wen, Han Zhou, Tao Zhang, Wen-Liang Song, Chun-Feng Liu

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Bachelor 2 9%
Student > Doctoral Student 2 9%
Researcher 2 9%
Student > Postgraduate 2 9%
Other 4 17%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Biochemistry, Genetics and Molecular Biology 3 13%
Agricultural and Biological Sciences 2 9%
Earth and Planetary Sciences 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 6 26%
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 24 July 2019.
All research outputs
#20,576,009
of 23,153,184 outputs
Outputs from Inflammation
#726
of 1,062 outputs
Outputs of similar age
#294,515
of 346,247 outputs
Outputs of similar age from Inflammation
#8
of 12 outputs
Altmetric has tracked 23,153,184 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 1,062 research outputs from this source. They receive a mean Attention Score of 2.7. 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 346,247 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 12 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.