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Long non-coding RNAs towards precision medicine in gastric cancer: early diagnosis, treatment, and drug resistance

Overview of attention for article published in Molecular Cancer, May 2020
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Mentioned by

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1 X user

Citations

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213 Dimensions

Readers on

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53 Mendeley
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Title
Long non-coding RNAs towards precision medicine in gastric cancer: early diagnosis, treatment, and drug resistance
Published in
Molecular Cancer, May 2020
DOI 10.1186/s12943-020-01219-0
Pubmed ID
Authors

Li Yuan, Zhi-Yuan Xu, Shan-Ming Ruan, Shaowei Mo, Jiang-Jiang Qin, Xiang-Dong Cheng

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

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Researcher 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 27 51%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 6 11%
Neuroscience 3 6%
Agricultural and Biological Sciences 3 6%
Arts and Humanities 1 2%
Other 2 4%
Unknown 25 47%
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 18 February 2021.
All research outputs
#20,620,796
of 23,211,181 outputs
Outputs from Molecular Cancer
#1,505
of 1,747 outputs
Outputs of similar age
#338,284
of 395,332 outputs
Outputs of similar age from Molecular Cancer
#22
of 26 outputs
Altmetric has tracked 23,211,181 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 1,747 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 395,332 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 26 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.