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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance of 18F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer
|
|---|---|
| Published in |
Frontiers in oncology, October 2020
|
| DOI | 10.3389/fonc.2020.568857 |
| Pubmed ID | |
| Authors |
Min Zhang, Yiming Bao, Weiwei Rui, Chengfang Shangguan, Jiajun Liu, Jianwei Xu, Xiaozhu Lin, Miao Zhang, Xinyun Huang, Yilei Zhou, Qian Qu, Hongping Meng, Dahong Qian, Biao Li |
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 % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 17% |
| Student > Master | 3 | 13% |
| Lecturer > Senior Lecturer | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Computer Science | 4 | 17% |
| Physics and Astronomy | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
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 12 January 2021.
All research outputs
#17,628,251
of 25,838,141 outputs
Outputs from Frontiers in oncology
#8,179
of 22,812 outputs
Outputs of similar age
#278,444
of 437,600 outputs
Outputs of similar age from Frontiers in oncology
#228
of 657 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,812 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 58% 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 437,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 657 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 58% of its contemporaries.