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Mendeley readers
Attention Score in Context
Title |
A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study
|
---|---|
Published in |
Journal of Translational Medicine, November 2020
|
DOI | 10.1186/s12967-020-02606-3 |
Pubmed ID | |
Authors |
Siying Chen, Chunxia Gao, Qian Du, Lina Tang, Haisheng You, Yalin Dong |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 18% |
Student > Master | 3 | 14% |
Unspecified | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 1 | 5% |
Other | 2 | 9% |
Unknown | 10 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 18% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Nursing and Health Professions | 2 | 9% |
Unspecified | 1 | 5% |
Sports and Recreations | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 50% |
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 22 November 2020.
All research outputs
#20,669,023
of 23,263,851 outputs
Outputs from Journal of Translational Medicine
#3,393
of 4,101 outputs
Outputs of similar age
#323,756
of 378,762 outputs
Outputs of similar age from Journal of Translational Medicine
#77
of 87 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 378,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.