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High Throughput Transcriptome Data Analysis and Computational Verification Reveal Immunotherapy Biomarkers of Compound Kushen Injection for Treating Triple-Negative Breast Cancer

Overview of attention for article published in Frontiers in oncology, September 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
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Title
High Throughput Transcriptome Data Analysis and Computational Verification Reveal Immunotherapy Biomarkers of Compound Kushen Injection for Treating Triple-Negative Breast Cancer
Published in
Frontiers in oncology, September 2021
DOI 10.3389/fonc.2021.747300
Pubmed ID
Authors

Xinkui Liu, Yang Wu, Yingying Zhang, Dechao Bu, Chao Wu, Shan Lu, Zhihong Huang, Yurong Song, Yi Zhao, Fengying Guo, Peizhi Ye, Changgeng Fu, Liangliang Shen, Jingyuan Zhang, Haojia Wang, Xianchun Duan, Jiarui Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 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 > Master 4 25%
Lecturer 1 6%
Student > Bachelor 1 6%
Unknown 10 63%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 6%
Nursing and Health Professions 1 6%
Computer Science 1 6%
Sports and Recreations 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 October 2021.
All research outputs
#16,279,421
of 25,707,225 outputs
Outputs from Frontiers in oncology
#5,743
of 22,767 outputs
Outputs of similar age
#231,614
of 437,789 outputs
Outputs of similar age from Frontiers in oncology
#293
of 1,404 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,767 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 71% 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 437,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,404 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 74% of its contemporaries.