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Our AI driven High Impact metric predicts an article's future number of citations by considering the content of the article.
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Exact search includes articles which contain all of the selected filters. Broad search includes articles that have at least one of the selected filters for each category.
Exact search includes articles which contain all of the selected filters. Broad search includes articles that have at least one of the selected filters for each category.
Tumour
SFOP OS94: a randomised trial comparing preoperative high-dose methotrexate plus doxorubicin to high-dose methotrexate plus etoposide and ifosfamide in osteosarcoma patients
Eur J Cancer. 2007 Mar;43(4):752-61. Epub 2007 Jan 30
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
SFOP OS94: a randomised trial comparing preoperative high-dose methotrexate plus doxorubicin to high-dose methotrexate plus etoposide and ifosfamide in osteosarcoma patients
This report has been verified by one or more authors of the original publication.
Eur J Cancer. 2007 Mar;43(4):752-61. Epub 2007 Jan 30
Tumour
Results of the EICESS-92 Study: two randomized trials of Ewing's sarcoma treatment--cyclophosphamide compared with ifosfamide in standard-risk patients and assessment of benefit of etoposide added to standard treatment in high-risk patients-
J Clin Oncol. 2008 Sep 20;26(27):4385-93. doi: 10.1200/JCO.2008.16.5720
This study has been identified as potentially high impact.
OE's AI-driven High Impact metric estimates the influence a paper is likely to have by integrating signals from both the journal in which it is published and the scientific content of the article itself.
Developed using state-of-the-art natural language processing, the OE High Impact model more accurately predicts a study's future citation performance than journal impact factor alone.
This enables earlier recognition of clinically meaningful research and helps readers focus on articles most likely to shape future practice.
Results of the EICESS-92 Study: two randomized trials of Ewing's sarcoma treatment--cyclophosphamide compared with ifosfamide in standard-risk patients and assessment of benefit of etoposide added to standard treatment in high-risk patients-
J Clin Oncol. 2008 Sep 20;26(27):4385-93. doi: 10.1200/JCO.2008.16.5720