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Characterizing microbiota and metabolomics analysis to identify candidate biomarkers in lung cancer

Overview of attention for article published in Frontiers in oncology, November 2022
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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17 Mendeley
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Title
Characterizing microbiota and metabolomics analysis to identify candidate biomarkers in lung cancer
Published in
Frontiers in oncology, November 2022
DOI 10.3389/fonc.2022.1058436
Pubmed ID
Authors

Bo Liu, Yige Li, Lijun Suo, Wei Zhang, Hongyun Cao, Ruicai Wang, Jiahui Luan, Xiaofeng Yu, Liang Dong, Wenjing Wang, Shiyang Xu, Shiyong Lu, Mei Shi

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Unspecified 2 12%
Student > Postgraduate 2 12%
Student > Master 2 12%
Student > Ph. D. Student 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Unspecified 2 12%
Medicine and Dentistry 2 12%
Social Sciences 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 6 35%
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 02 December 2022.
All research outputs
#18,196,633
of 26,617,918 outputs
Outputs from Frontiers in oncology
#8,439
of 23,380 outputs
Outputs of similar age
#255,468
of 437,677 outputs
Outputs of similar age from Frontiers in oncology
#607
of 1,547 outputs
Altmetric has tracked 26,617,918 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,380 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 437,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,547 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 50% of its contemporaries.