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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Proposal to Reflect Survival Difference and Modify the Staging System for Lung Adenocarcinoma and Squamous Cell Carcinoma: Based on the Machine Learning
|
---|---|
Published in |
Frontiers in oncology, August 2019
|
DOI | 10.3389/fonc.2019.00771 |
Pubmed ID | |
Authors |
Ming Li, Cheng Zhan, Xizhao Sui, Wei Jiang, Yu Shi, Xiaodong Yang, Mingxiang Feng, Jun Wang, Qun Wang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 40% |
Japan | 1 | 20% |
Taiwan | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Student > Bachelor | 3 | 25% |
Lecturer | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 4 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 17% |
Veterinary Science and Veterinary Medicine | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Computer Science | 1 | 8% |
Decision Sciences | 1 | 8% |
Other | 2 | 17% |
Unknown | 4 | 33% |
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 19 August 2019.
All research outputs
#15,707,582
of 26,178,577 outputs
Outputs from Frontiers in oncology
#4,744
of 22,922 outputs
Outputs of similar age
#186,616
of 356,194 outputs
Outputs of similar age from Frontiers in oncology
#112
of 333 outputs
Altmetric has tracked 26,178,577 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 done well, scoring higher than 77% 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 356,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 333 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 64% of its contemporaries.