Editorial for methods special issue: Big data in digital health: methods, analysis and prospects
IF 4.2
3区 生物学
Q1 BIOCHEMICAL RESEARCH METHODS
引用次数: 0
方法》特刊编辑：数字健康中的大数据：方法、分析与前景。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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来源期刊
Methods
生物-生化研究方法
CiteScore
9.80
自引率
2.10%
发文量
222
审稿时长
11.3 weeks
期刊介绍：
Methods focuses on rapidly developing techniques in the experimental biological and medical sciences.
Each topical issue, organized by a guest editor who is an expert in the area covered, consists solely of invited quality articles by specialist authors, many of them reviews. Issues are devoted to specific technical approaches with emphasis on clear detailed descriptions of protocols that allow them to be reproduced easily. The background information provided enables researchers to understand the principles underlying the methods; other helpful sections include comparisons of alternative methods giving the advantages and disadvantages of particular methods, guidance on avoiding potential pitfalls, and suggestions for troubleshooting.
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