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Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis

Overview of attention for article published in BMC Cancer, May 2021
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Mentioned by

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1 X user

Citations

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19 Dimensions

Readers on

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16 Mendeley
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Title
Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis
Published in
BMC Cancer, May 2021
DOI 10.1186/s12885-021-08308-3
Pubmed ID
Authors

Mingze Lu, Xiaowen Fan, Weilin Liao, Yijiao Li, Lijie Ma, Mu Yuan, Rui Gu, Zhengdao Wei, Chao Wang, Hua Zhang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Unspecified 1 6%
Researcher 1 6%
Lecturer 1 6%
Other 0 0%
Unknown 9 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Unspecified 1 6%
Sports and Recreations 1 6%
Materials Science 1 6%
Unknown 9 56%
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 27 May 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from BMC Cancer
#6,597
of 8,441 outputs
Outputs of similar age
#369,480
of 448,536 outputs
Outputs of similar age from BMC Cancer
#226
of 289 outputs
Altmetric has tracked 23,308,124 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 8,441 research outputs from this source. They receive a mean Attention Score of 4.4. 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 448,536 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 289 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.