The Pathway to Publishing: A Guide to Quantitative Writing in the Health Sciences

The Pathway to Publishing: A Guide to Quantitative Writing in the Health Sciences
Author :
Publisher : Springer Nature
Total Pages : 188
Release :
ISBN-10 : 9783030981754
ISBN-13 : 3030981754
Rating : 4/5 (54 Downloads)

Book Synopsis The Pathway to Publishing: A Guide to Quantitative Writing in the Health Sciences by : Stephen Luby

Download or read book The Pathway to Publishing: A Guide to Quantitative Writing in the Health Sciences written by Stephen Luby and published by Springer Nature. This book was released on 2022-05-30 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Writing manuscripts is central to the advance of scientific knowledge. For an early career aspiring scientist, writing first author manuscripts is an opportunity to develop critical skills and to credential their expertise. Writing manuscripts, however, is difficult, doubly so for scientists who use English as a second language. Many science students intentionally avoid a writing-intensive curriculum. Careful, thorough reviews of draft manuscripts are difficult to secure, and experienced scientific supervisors face more demands on their time than they have time available. Weak draft manuscripts discourage supervising scientists investing the time to coach revisions. It is easier for experienced scientists to ignore the request, or to simply rewrite the article. Early career scientists are motivated to address these barriers but specific advice is difficult to find, and much of this advice is behind a pay wall. This essential, open access text presents writing lessons organized as common errors, providing students and early-career researchers with an efficient way to learn, and mentors with a quick-reference guide to reviewing. Error descriptions include specific examples drawn from real-world experiences of other early-career writers, and suggestions for how to successfully address and avoid these in the future. Versions of this book have been used by Stanford University, UC Davis, Johns Hopkins, and numerous international institutions and organizations for over a decade.


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