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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Machine Learning Modeling to Explore New Immune-Related Prognostic Markers in Non-Small Cell Lung Cancer
|
|---|---|
| Published in |
Frontiers in oncology, October 2020
|
| DOI | 10.3389/fonc.2020.550002 |
| Pubmed ID | |
| Authors |
Jiasheng Xu, Han Nie, Jiarui He, Xinlu Wang, Kaili Liao, Luxia Tu, Zhenfang Xiong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Unspecified | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Unspecified | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Computer Science | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 11 | 39% |
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 20 November 2020.
All research outputs
#22,986,241
of 25,628,260 outputs
Outputs from Frontiers in oncology
#16,210
of 22,751 outputs
Outputs of similar age
#381,647
of 442,271 outputs
Outputs of similar age from Frontiers in oncology
#442
of 707 outputs
Altmetric has tracked 25,628,260 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 22,751 research outputs from this source. They receive a mean Attention Score of 3.1. 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 442,271 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 707 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.