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Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

Overview of attention for article published in Journal of Translational Medicine, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods
Published in
Journal of Translational Medicine, December 2020
DOI 10.1186/s12967-020-02635-y
Pubmed ID
Authors

Qidong Cai, Boxue He, Pengfei Zhang, Zhenyu Zhao, Xiong Peng, Yuqian Zhang, Hui Xie, Xiang Wang

Twitter Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Unspecified 1 6%
Lecturer 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Nursing and Health Professions 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Other 3 17%
Unknown 5 28%

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 09 December 2020.
All research outputs
#13,006,291
of 19,659,155 outputs
Outputs from Journal of Translational Medicine
#1,951
of 3,469 outputs
Outputs of similar age
#284,065
of 471,730 outputs
Outputs of similar age from Journal of Translational Medicine
#181
of 323 outputs
Altmetric has tracked 19,659,155 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,469 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 26th percentile – i.e., 26% 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 471,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 323 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.