CrossRef Text and Data Mining

Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.

Can we improve the peer review system?

Kihong Kim

Science Editing. 2017;4(1):1-2. Published online 2017 February 20 DOI: https://doi.org/10.6087/kcse.81

Can we improve the peer review system?

Kihong Kim

Science Editing. 2017;4(1):1-2

Link1 Link2

Link3

Peer review for biomedical publications: we can improve the system

Philip F Stahel, Ernest E Moore

BMC Medicine. 2014;12(1):

Link1 Link2

Link3

Alice through the Looking-glass: Can We Improve Peer Review?

Nikolaos Papanas, Dimitri P. Mikhailidis

The International Journal of Lower Extremity Wounds. 2022;153473462210847

Link1 Link2 Link3

How do we improve peer review for manuscripts from culturally divergent origins?

Anthony Dart

F1000Research. 2015;4:39

Link1 Link2 Link3

Pediatric Multidisciplinary Weight Management - How Can We Improve Further?

Indrajit Majumdar, Brittany Espino, Carroll M Harmon

. 2021;

Link1 Link2

Can we improve safety for young blood donors?

A. F. Eder

ISBT Science Series. 2012;7(1):226-229

Link1 Link2

How can we improve quality? The technical system

ASHE-ERIC Higher Education Report. 2009;21(3):37-58

Link1 Link2

How can we improve quality? The administrative system

ASHE-ERIC Higher Education Report. 2009;21(3):59-78

Link1 Link2

Can we improve the structure of financial systems?

Charles A.E. Goodhart

European Economic Review. 1993;37(2-3):269-291

Link1 Link2

Can We Improve the Structure of Financial Systems? (1993)

C. A. E. Goodhart

The Central Bank and the Financial System. 1995;19-39

Link1

This metadata service is kindly provided by CrossRef from May 29, 2014. Sci Ed has participated in CrossRef Text and Data Mining service since October 22, 2014.