American Society for Radiation Oncology's Advances in Radiation Oncology in 2022
Bibliographic record
Abstract
This fall marks the American Society for Radiation Oncology's (ASTRO) Advances in Radiation Oncology’s seventh year of publishing. The past year has been our most successful to date with our CiteScore increasing to 4.3 (Fig. 1), placing Advances in Radiation Oncology in the top 3 of comparable journals. A conventional impact factor is expected to be granted in 2023. ASTRO created Advances in Radiation Oncology in 2015 in response to the increasing demand for outlets to publish quality radiation oncology–related research and limitations in the number of manuscripts that could be published in conventional paper journals. As a gold open-access journal, permanently freely available, Advances in Radiation Oncology is available on a global basis to all health care professionals and scientists, as well as our patient population and their caregivers. Figure 2 demonstrates Advances in Radiation Oncology’s complementary relationship with the Red Journal and Practical Radiation Oncology. Figure 3 highlights our current most-downloaded articles.Figure 3Top downloads in Advances in Radiation Oncology in August 2022.View Large Image Figure ViewerDownload Hi-res image Download (PPT) We are particularly interested this year in publishing more scholarly critical reviews. Our current call for articles includes those relating to the use of radiopharmaceuticals and cybersecurity issues in radiation oncology. In recent years, the disruption in care delivery from issues (eg, COVID-19; cyberattacks; and ongoing humanitarian crises in Ukraine [Fig. 4], Syria, and elsewhere) have been the focus of many of our most-read articles. Two articles are included in this collection. A report from Istanbul by Uğurluer et al1Uğurluer G Özyar E Corapcioglu F Miller RC Psychosocial impact of the war in Ukraine on pediatric cancer patients and their families receiving oncological care outside their country at the onset of hostilities.Adv Radiat Oncol. 2002; 7100957Google Scholar describes the psychosocial issues facing Ukrainian families whose children were receiving cancer care in Turkey at the onset of the war in Ukraine. Flavin et al2Flavin A O'Toole E Murphy L et al.A national cyberattack affecting radiation therapy: The Irish experience.Adv Radiat Oncol. 2022; 7100914Google Scholar report on the national effect on radiation therapy delivery after a cyberattack on the public health services of the Republic of Ireland. Additional review articles included in this issue are a review of the management of implantable devices by Chan et al3Chan MF Young C Gelblum D et al.A review and analysis of managing commonly seen implanted devices for patients undergoing radiation therapy.Adv Radiat Oncol. 2021; 6100732Google Scholar and on the Abscopal effect by Hatten et al.4Hatten Jr, SJ Lehrer EJ Liao J et al.A patient-level data meta-analysis of the Abscopal effect.Adv Radiat Oncol. 2022; 7100909PubMed Google Scholar We welcome inquiries regarding proposed review articles and encourage potential authors to contact the editor in chief directly at [email protected] to discuss their proposal. Our most downloaded article at this time is a paper on breast cancer reirradiation by Fattahi et al.5Fattahi S Ahmed SK Park SS et al.Reirradiation for locoregional recurrent breast cancer.Adv Radiat Oncol. 2020; 6100640PubMed Google Scholar Social media–focused articles and analyses of professional issues related to resident training and the job market are also highly read. Included in this issue is a report characterizing Twitter influencers in radiation oncology by Valle et al6Valle LF Chu FI Smith M et al.Characterizing Twitter influencers in radiation oncology.Adv Radiat Oncol. 2022; 7100919Google Scholar that is one of our most highly read articles. We thank the Advances in Radiation Oncology editorial board, our reviewers, and the ASTRO community for all their time and diligence dedicated to our past 7 years of success. We look forward to continued growth. Advances in Radiation Oncology is committed to diversity and inclusion on the editorial team.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".