Untargeted UPLC-MS Downstream Data Processing and Statistical Analysis - Illustrated by a Pilot Study on Cognitive Impairment- Crimson Publishers

Untargeted UPLC-MS Downstream Data Processing and Statistical Analysis - Illustrated by a Pilot Study on Cognitive Impairment by TANG Xingyu in Open Access Biostatistics & Bioinformatics: Crimson Publishers- Open Access Biostatistics & Bioinformatics journals

This article is to introduce the procedure of untargeted ultra-performance liquid chromatography-mass spectrometry(UPLC-MS) downstream data processing and statistical analysis, developed and optimized in Singapore Phenome Centre (SPC). The procedure is illustrated by a pilot study on cognitive impairment.

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Mining Online Author’s Publication to Report the Core Research Domain with PubMed MeSH Terms: a Systematic Review for a Journal- Crimson Publishers

Mining Online Author’s Publication to Report the Core Research Domain with PubMed MeSH 

Terms: a Systematic Review for a Journal by Tsair Wei Chien in Open Access Biostatistics & 

Bioinformatic: Crimson Publishers_ Bioinformatics Open Access Journals

Background: Identifying an author’s research domain (RD) using MeSH (Medical Subject Headings)
terms is essential for a journal’s development and its readership, but no journal uses mining online 
methods or social network analysis (SNA) to extract journal publication information to report an 
author’s contributions.


Objective: To select prestigious authors and papers that have contributed most to a journal, 
we retrospectively (1) calculated an SCI (Science Citation Index) journal’s most recent impact 
factors (IF) and (2) used graphical representations that include MeSH terms of RDs for authors 
and journals.


Methods: We collected 2,053 papers published between July 1, 1999, and April 3, 2017, in the 
Journal of Medical Internet Research (JMIR) and cited by 673 journals, for which we also 
collected annual IFs for 394 SCI journals, including the JMIR. The prestigious authors and JMIR 
papers based on the weight of the 5-year SCI IFs from 394 cited-by papers in 2015. The JMIR 
core aims and scope are presented using major MeSH terms based on their corresponding 
average weighted scores. Social network analysis was used to create a graphical RD pattern for 
JMIR, and its prestigious papers and authors.


Results: All JMIR 5-year IFs have not been less than 2.9 for the past 14 years. The authors who 
contributed most to JMIR in a number of publications and weighted citations are Gunther 
Eysenbach and My Hua. Their cohesion measures (ranging from 0 to 1.0) to JMIR are 34% and 
5.7%, respectively. The highest prestige weighted contribution among papers published in JMIR 
is the one (PMID: 23567935 /DOI: 10.2196/jmir.2324) with a cohesion measure of 4.5%.


Conclusion: An author’s research domain is required with an essential and graphical 
presentation along with the author’s submission to the target journal. Journal editors also 
look forward to evaluating an author’s research domain and the submitted paper’s cohesion 
measure for the journal.


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