Any good scientist knows that one must have an adequate experimental control when trying to determine the significance of effects.
Therefore, in order to test the significance of the 106 broken DOIs I reported at OUP yesterday, I created a comparable stratified ‘control’ sample of 21 journals NOT published by OUP that are indexed in pubmed. These 21 are published by a variety of different publishers including PLOS, eLife, NPG, Taylor and Francis, Springer, and PeerJ.
I used the exact same method (screen-scraping pubmed to get the 100 most recent items published at each journal) and checked all of the resulting 1605 DOI URLs that I obtained from these 21 journals (not every item listed in pubmed has a DOI). For the control group of non-OUP journals, I found just 7 broken DOIs. So just 0.4% (to 1 d.p.) of recently minted DOIs at other journals are broken. This is in stark contrast to the >6% failure rate at OUP. I think it’s fair to say OUP has a significant problem!
The 21 journals included in the OUP set are:
J Anal Toxicol; FEMS-Microbiology-Ecology; Journal of Heredity; Medical Mycology; Bioinformatics; FEMS-Microbiology-Letters; Journal of Medical Entomology; Mutagenesis; Brain; FEMS-Yeast-Research; Journal of Pediatric Psychology; Briefings in Bioinformatics; Briefings in Functional Genomics; Journal of the Pediatric Infectious Diseases Society (JPIDS); Pathogens and Disease; Glycobiology; Clinical Infectious Diseases; Systematic Biology; Evolution Medicine & Public Health; Journal of Biochemistry; Molecular Biology and Evolution
The 21 journals in the non-OUP set are:
Academic Radiology; Appetite; Neurological Research; Acta Neuropathologica; Autoimmunity; Nutrition and Cancer; Addictive Behaviours; British Journal of Nutrition; PeerJ; AIDS Care; Diabetologia; PLOS ONE; Alcohol; eLife; PLOS Pathogens; Annals of Anatomy; Heliyon; Psychological Medicine; Antiviral Research; Journal of Medical Systems; Scientific Reports
Full logs evidencing the data used in these analyses and the DOIs of each and every article checked are available on github: https://github.com/rossmounce/Checking-OUP-DOIs
This analysis was hastily done. By using the pubmed or EuropePMC API I could actually script-up some weekly monitoring of ALL journals indexed in pubmed to produce weekly reports like this, ranking each and every publisher in terms of DOI performance. I could do this. But I’m hoping Crossref will publish these simple statistics instead. The scholarly community needs to know this kind of information. I’m hoping it will shame some publishers into improving their practices!