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A Signature of Autophagy-Related Long Non-coding RNA to Predict the Prognosis of Breast Cancer

Overview of attention for article published in Frontiers in Genetics, March 2021
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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5 X users

Citations

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13 Dimensions

Readers on

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19 Mendeley
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Title
A Signature of Autophagy-Related Long Non-coding RNA to Predict the Prognosis of Breast Cancer
Published in
Frontiers in Genetics, March 2021
DOI 10.3389/fgene.2021.569318
Pubmed ID
Authors

Xiaoping Li, Jishang Chen, Qihe Yu, Hui Huang, Zhuangsheng Liu, Chengxing Wang, Yaoming He, Xin Zhang, Weiwen Li, Chao Li, Jinglin Zhao, Wansheng Long

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Master 2 11%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 10 53%
Readers by discipline Count As %
Medicine and Dentistry 3 16%
Biochemistry, Genetics and Molecular Biology 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2021.
All research outputs
#13,744,083
of 23,301,510 outputs
Outputs from Frontiers in Genetics
#3,354
of 12,314 outputs
Outputs of similar age
#206,380
of 426,183 outputs
Outputs of similar age from Frontiers in Genetics
#133
of 516 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,314 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 426,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.