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A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
Title
A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data
Published in
Analytical & Bioanalytical Chemistry, August 2019
DOI 10.1007/s00216-019-02011-w
Authors

Benzhe Su, Ping Luo, Zhao Yang, Pei Yu, Zaifang Li, Peiyuan Yin, Lina Zhou, Jinhu Fan, Xin Huang, Xiaohui Lin, Youlin Qiao, Guowang Xu

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 67%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Social Sciences 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 November 2019.
All research outputs
#7,287,281
of 14,229,176 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,910
of 5,430 outputs
Outputs of similar age
#107,968
of 254,238 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#52
of 263 outputs
Altmetric has tracked 14,229,176 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,430 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 64% 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 254,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.