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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the robustness of radiomics/deep learning approach in the identification of efficacy of anti–PD-1 treatment in advanced or metastatic non-small cell lung carcinoma patients
|
|---|---|
| Published in |
Frontiers in oncology, August 2022
|
| DOI | 10.3389/fonc.2022.952749 |
| Pubmed ID | |
| Authors |
Qianqian Ren, Fu Xiong, Peng Zhu, Xiaona Chang, Guobin Wang, Nan He, Qianna Jin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 11% |
| Business, Management and Accounting | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Materials Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 12 | 67% |
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 22 August 2022.
All research outputs
#16,591,579
of 26,169,168 outputs
Outputs from Frontiers in oncology
#5,840
of 22,913 outputs
Outputs of similar age
#221,483
of 437,328 outputs
Outputs of similar age from Frontiers in oncology
#442
of 1,787 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 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 70% 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 437,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,787 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 71% of its contemporaries.