What I Learned from Analyzing Accurate Mass Data of 3000 Supporting Information Files

IF 4.9 1区化学 Q1 CHEMISTRY, ORGANIC

Organic Letters Pub Date : 2024-12-19 DOI:10.1021/acs.orglett.4c03458

Mathias Christmann

引用次数: 0

Abstract

A Python script for the systematic, high-throughput analysis of accurate mass data was developed and tested on more than 3000 Supporting Information (SI) PDFs from Organic Letters. For each SI file, quadruplets of molecular formula, measured ion, e.g., [M + Na]⁺, and reported calculated and found masses were extracted and analyzed. Interestingly, only 40% of the files containing readable accurate mass data were both internally consistent and in compliance with The ACS Guide to Scholarly Communication. The analysis revealed unexpected errors and provided actionable advice on how to improve data quality.

Abstract Image

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Organic Letters 化学-有机化学

CiteScore

9.30

自引率

11.50%

发文量

1607

审稿时长

1.5 months

期刊介绍： Organic Letters invites original reports of fundamental research in all branches of the theory and practice of organic, physical organic, organometallic,medicinal, and bioorganic chemistry. Organic Letters provides rapid disclosure of the key elements of significant studies that are of interest to a large portion of the organic community. In selecting manuscripts for publication, the Editors place emphasis on the originality, quality and wide interest of the work. Authors should provide enough background information to place the new disclosure in context and to justify the rapid publication format. Back-to-back Letters will be considered. Full details should be reserved for an Article, which should appear in due course.