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Long non-coding RNA MALAT1 enhances the apoptosis of cardiomyocytes through autophagy inhibition by regulating TSC2-mTOR signaling

Overview of attention for article published in Biological Research, November 2019
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Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Long non-coding RNA MALAT1 enhances the apoptosis of cardiomyocytes through autophagy inhibition by regulating TSC2-mTOR signaling
Published in
Biological Research, November 2019
DOI 10.1186/s40659-019-0265-0
Authors

Hao Hu, Jiawei Wu, Xiaofan Yu, Junling Zhou, Hua Yu, Likun Ma

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Doctoral Student 2 22%
Student > Master 2 22%
Student > Postgraduate 1 11%
Unknown 2 22%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Psychology 1 11%
Immunology and Microbiology 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%

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 30 November 2019.
All research outputs
#12,428,540
of 16,299,115 outputs
Outputs from Biological Research
#276
of 443 outputs
Outputs of similar age
#261,074
of 385,418 outputs
Outputs of similar age from Biological Research
#27
of 61 outputs
Altmetric has tracked 16,299,115 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 443 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 25th percentile – i.e., 25% 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 385,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.