Edward Moh

@mredwardmoh.bsky.social

Glycobiology, Mass spectrometry, Analytical biochemistry Making social media profiles is a lot of work, too lazy to import stuff from Twitter

1. How common is LLM use in scientific publishing, and how does it vary across field, publisher, journal prestige, author demographics etc.? @kylesiler.bsky.social has new paper in PNAS that addresses this question on a massive scale: 7.3 million papers from Elsevier, PLOS, MDPI, and Frontiers.

The diffusion of large language models in published academic articles | PNAS

Large language models (LLMs) are rapidly changing academic research, raising questions of who is adopting these tools and under what conditions. Th...

pnas.org

How easy is it to fudge your scientific rank? Meet Larry, the world’s most cited cat www.science.org/content/arti... "More than 130 citations in 4 years." Meow, Larry! Oh wait. “All you have to do is put some fake papers on ResearchGate.” And buy citations. Critical: Let's clean up research!

How easy is it to fudge your scientific rank? Meet Larry, the world’s most cited cat

“Exercise in absurdity” reveals flaws in Google Scholar’s productivity metrics

science.org

By deep characterisation of 186 N-glycan standards, we @thencfg.bsky.social have made the most comprehensive targeted LC-MS glycomic assay to date. Non-reduced native glycan analysis is key. We hope this enables anyone with QqQ and interest in #glycotime to measure specific N-glycan structures.

186 pure glycan structures used to construct a targeted glycomic assay
bioRxivpreprint@biorxivpreprint.bsky.social · last yr.

N-Glycopedia: Libraries for Native N-glycan Structural Analysis https://www.biorxiv.org/content/10.1101/2025.06.09.658590v1