| Title |
Perioperative ctDNA-based Molecular Residual Disease Detection for Non-Small Cell Lung Cancer: A Prospective Multicenter Cohort Study (LUNGCA-1)
|
|---|---|
| Published in |
Clinical Cancer Research, November 2021
|
| DOI | 10.1158/1078-0432.ccr-21-3044 |
| Pubmed ID | |
| Authors |
Liang Xia, Jiandong Mei, Ran Kang, Senyi Deng, Yaohui Chen, Ying Yang, Gang Feng, Yulan Deng, Fanyi Gan, Yidan Lin, Qiang Pu, Lin Ma, Feng Lin, Yong Yuan, Yang Hu, Chenglin Guo, Hu Liao, Chengwu Liu, Yunke Zhu, Wenping Wang, Zheng Liu, Yuyang Xu, Kaidi Li, Chuan Li, Qingyun Li, Ji He, Weizhi Chen, Xiaolong Zhang, Yingli Kou, Yun Wang, Zhu Wu, Guowei Che, Longqi Chen, Lunxu Liu |
X Demographics
The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 27% |
| Italy | 7 | 8% |
| France | 4 | 5% |
| India | 3 | 3% |
| Brazil | 3 | 3% |
| Spain | 3 | 3% |
| Switzerland | 2 | 2% |
| United Kingdom | 2 | 2% |
| Canada | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 29 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 47% |
| Practitioners (doctors, other healthcare professionals) | 22 | 25% |
| Scientists | 22 | 25% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 25% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 27 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 January 2022.
All research outputs
#624,948
of 25,171,799 outputs
Outputs from Clinical Cancer Research
#368
of 13,189 outputs
Outputs of similar age
#15,267
of 516,329 outputs
Outputs of similar age from Clinical Cancer Research
#9
of 135 outputs
Altmetric has tracked 25,171,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 97% 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 516,329 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.