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Long Non-coding RNA NEAT1: A Novel Target for Diagnosis and Therapy in Human Tumors

Overview of attention for article published in Frontiers in Genetics, October 2018
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Mentioned by

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2 X users

Citations

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187 Dimensions

Readers on

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167 Mendeley
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Title
Long Non-coding RNA NEAT1: A Novel Target for Diagnosis and Therapy in Human Tumors
Published in
Frontiers in Genetics, October 2018
DOI 10.3389/fgene.2018.00471
Pubmed ID
Authors

Peixin Dong, Ying Xiong, Junming Yue, Sharon J. B. Hanley, Noriko Kobayashi, Yukiharu Todo, Hidemichi Watari

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

Geographical breakdown

Country Count As %
Unknown 167 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 19%
Student > Master 32 19%
Student > Bachelor 16 10%
Researcher 11 7%
Student > Postgraduate 6 4%
Other 19 11%
Unknown 51 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 36%
Medicine and Dentistry 16 10%
Agricultural and Biological Sciences 14 8%
Neuroscience 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 16 10%
Unknown 52 31%
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 21 October 2022.
All research outputs
#19,012,063
of 23,570,677 outputs
Outputs from Frontiers in Genetics
#7,419
of 12,599 outputs
Outputs of similar age
#268,141
of 349,592 outputs
Outputs of similar age from Frontiers in Genetics
#181
of 235 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,599 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 28th percentile – i.e., 28% 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 349,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.