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X Demographics
Mendeley readers
Attention Score in Context
Title |
Endobronchial Mucosa Invasion Predicts Survival in Patients with Small Cell Lung Cancer
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Published in |
PLOS ONE, October 2012
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DOI | 10.1371/journal.pone.0047613 |
Pubmed ID | |
Authors |
Pai-Chien Chou, Shu-Min Lin, Chun-Yu Lo, Hao-Cheng Chen, Chih-Wei Wang, Chun-Liang Chou, Chih-Teng Yu, Horng-Chyuan Lin, Chun-Hua Wang, Han-Pin Kuo |
Abstract |
Current staging system for small cell lung cancer (SCLC) categorizes patients into limited- or extensive-stage disease groups according to anatomical localizations. Even so, a wide-range of survival times has been observed among patients in the same staging system. This study aimed to identify whether endobronchial mucosa invasion is an independent predictor for poor survival in patients with SCLC, and to compare the survival time between patients with and without endobronchial mucosa invasion. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 22% |
Researcher | 2 | 22% |
Student > Ph. D. Student | 2 | 22% |
Other | 1 | 11% |
Professor | 1 | 11% |
Other | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 78% |
Agricultural and Biological Sciences | 2 | 22% |
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 05 October 2012.
All research outputs
#14,151,903
of 22,679,690 outputs
Outputs from PLOS ONE
#115,603
of 193,573 outputs
Outputs of similar age
#99,247
of 172,536 outputs
Outputs of similar age from PLOS ONE
#2,474
of 4,541 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% 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 172,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,541 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.