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Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer

Overview of attention for article published in BMC Cancer, April 2020
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Mentioned by

reddit
1 Redditor

Citations

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36 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer
Published in
BMC Cancer, April 2020
DOI 10.1186/s12885-020-06829-x
Pubmed ID
Authors

Xiang Jin, Yinghui Guan, Zhen Zhang, Hongyue Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Researcher 4 16%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Other 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Agricultural and Biological Sciences 2 8%
Computer Science 2 8%
Medicine and Dentistry 2 8%
Chemistry 2 8%
Other 3 12%
Unknown 7 28%
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 April 2020.
All research outputs
#20,613,796
of 23,203,401 outputs
Outputs from BMC Cancer
#6,574
of 8,417 outputs
Outputs of similar age
#293,830
of 343,796 outputs
Outputs of similar age from BMC Cancer
#118
of 175 outputs
Altmetric has tracked 23,203,401 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 8,417 research outputs from this source. They receive a mean Attention Score of 4.3. 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 343,796 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 175 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.