کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10358348 | 868238 | 2016 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials.gov
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials.gov Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials.gov](/preview/png/10358348.png)
چکیده انگلیسی
Increasing interest in developing treatments for pancreatic cancer has led to a surge in publications in the field. Analyses of drug-research trends are needed to minimize risk in anti-cancer drug development. Here, we analyzed publications on anti-cancer drugs extracted from PubMed records and ClinicalTrials datasets. We conducted a drug cluster analysis by proposing the entity Dirichlet Multinomial Regression (eDMR) technique and in-depth network analysis of drug cluster and target proteins. The results show two distinct research clusters in both the ClinicalTrials dataset and the PubMed records. Specifically, various targets associated with anti-cancer drugs are investigated in new drug testing while the diverse chemicals are studied together with a standard therapeutic agent in the academic literature. In addition, our study confirms that drug research published in PubMed is preceded by clinical trials. Although we only evaluate drugs for pancreatic cancer in the present study, our method can be applied to drug-research trends of other diseases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 10, Issue 1, February 2016, Pages 273-285
Journal: Journal of Informetrics - Volume 10, Issue 1, February 2016, Pages 273-285
نویسندگان
Yoo Kyung Jeong, Go Eun Heo, Keun Young Kang, Dong Sup Yoon, Min Song,