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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Classifier for Improving Early Lung Cancer Diagnosis Incorporating Artificial Intelligence and Liquid Biopsy
|
---|---|
Published in |
Frontiers in oncology, March 2022
|
DOI | 10.3389/fonc.2022.853801 |
Pubmed ID | |
Authors |
Maosong Ye, Lin Tong, Xiaoxuan Zheng, Hui Wang, Haining Zhou, Xiaoli Zhu, Chengzhi Zhou, Peige Zhao, Yan Wang, Qi Wang, Li Bai, Zhigang Cai, Feng-Ming Kong, Yuehong Wang, Yafei Li, Mingxiang Feng, Xin Ye, Dawei Yang, Zilong Liu, Quncheng Zhang, Ziqi Wang, Shuhua Han, Lihong Sun, Ningning Zhao, Zubin Yu, Juncheng Zhang, Xiaoju Zhang, Ruth L. Katz, Jiayuan Sun, Chunxue Bai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 10% |
Student > Master | 3 | 8% |
Researcher | 2 | 5% |
Professor | 1 | 3% |
Unspecified | 1 | 3% |
Other | 2 | 5% |
Unknown | 27 | 68% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 5% |
Engineering | 2 | 5% |
Computer Science | 2 | 5% |
Unspecified | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 2 | 5% |
Unknown | 30 | 75% |
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 22 March 2022.
All research outputs
#16,607,632
of 26,178,577 outputs
Outputs from Frontiers in oncology
#5,857
of 22,922 outputs
Outputs of similar age
#240,929
of 454,936 outputs
Outputs of similar age from Frontiers in oncology
#369
of 1,544 outputs
Altmetric has tracked 26,178,577 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 22,922 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 70% 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 454,936 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 1,544 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 71% of its contemporaries.