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Novel Model for Comprehensive Assessment of Robust Prognostic Gene Signature in Ovarian Cancer Across Different Independent Datasets

Overview of attention for article published in Frontiers in Genetics, October 2019
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1 X user

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8 Mendeley
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Title
Novel Model for Comprehensive Assessment of Robust Prognostic Gene Signature in Ovarian Cancer Across Different Independent Datasets
Published in
Frontiers in Genetics, October 2019
DOI 10.3389/fgene.2019.00931
Pubmed ID
Authors

Zhitong Bing, Yuxiang Yao, Jie Xiong, Jinhui Tian, Xiangqian Guo, Xiuxia Li, Jingyun Zhang, Xiue Shi, Yanying Zhang, Kehu Yang

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Lecturer 1 13%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Earth and Planetary Sciences 1 13%
Unknown 4 50%
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 22 October 2019.
All research outputs
#20,583,973
of 23,170,347 outputs
Outputs from Frontiers in Genetics
#8,804
of 12,204 outputs
Outputs of similar age
#300,027
of 353,328 outputs
Outputs of similar age from Frontiers in Genetics
#324
of 428 outputs
Altmetric has tracked 23,170,347 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 12,204 research outputs from this source. They receive a mean Attention Score of 3.7. 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 353,328 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 428 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.