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Identification and Functional Prediction of Long Non-Coding RNAs in Dilated Cardiomyopathy by Bioinformatics Analysis

Overview of attention for article published in Frontiers in Genetics, April 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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19 Dimensions

Readers on

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10 Mendeley
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Title
Identification and Functional Prediction of Long Non-Coding RNAs in Dilated Cardiomyopathy by Bioinformatics Analysis
Published in
Frontiers in Genetics, April 2021
DOI 10.3389/fgene.2021.648111
Pubmed ID
Authors

Yu-Xiao Chen, Jie Ding, Wei-Er Zhou, Xuan Zhang, Xiao-Tong Sun, Xi-Ying Wang, Chi Zhang, Ni Li, Guo-Feng Shao, Shen-Jiang Hu, Jian Yang

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 30%
Unspecified 1 10%
Student > Master 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Unspecified 1 10%
Environmental Science 1 10%
Psychology 1 10%
Medicine and Dentistry 1 10%
Other 1 10%
Unknown 2 20%
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 08 May 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from Frontiers in Genetics
#6,259
of 12,328 outputs
Outputs of similar age
#280,511
of 402,510 outputs
Outputs of similar age from Frontiers in Genetics
#253
of 510 outputs
Altmetric has tracked 23,308,124 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 12,328 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 402,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 510 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.