Preprinting helps accelerate dissemination of scientific knowledge. To what extent do researchers adopt preprinting? And how does this vary by discipline and region?
Together with Narmin Rzayeva and @stephenpinfield, I just published an article answering these questions. https://osf.io/preprints/socarxiv/xdwc4_v2
Our work shows there are still lots of opportunities for growth in preprinting.
Math and physics demonstrate what can be achieved when preprinting becomes the norm. Other disciplines still need to make significant efforts to reach this point.
Asia and Africa are lagging behind compared to many other regions, in particular North America and Western and Northern Europe. Lot of room for growth in preprinting in Asia and Africa.
Our bibliometric analysis combines data from #Dimensions, @OpenAlex and @crossref.
Availability of reliable data on links between peer-reviewed outputs and preprints is limited. Our statistics provide a conservative estimate of preprint adoption. The actual adoption is somewhat higher.
In ideal world, journals would ask authors whether their article has been preprinted. If it has, the journal article would link back to the preprint, both on the journal website and in the underlying metadata.
I'd love to work on this with publishers!
There are lots of interesting additional analyses that can be performed based on our work. Unfortunately, we cannot share all data we used, but what can be shared is available in Zenodo https://doi.org/10.5281/zenodo.15301958.
Hope it will be of use!
To support the reproducibility of the research findings presented in the paper, this repository includes the data and scripts used in the analysis. The "Data" folder contains the datasets underlying the results reported in the publication. The "Scripts" folder includes the SQL scripts used to process and analyze the data. Both folders contain README files with detailed explanations of the included files and their structure. All files are provided in open file formats to ensure broad accessibility and long-term usability.
I can easily see this getting done in #OJS. Technically it would not be difficult, it's just a DOI saved. The relation could be published via OAI-PMH as JATS. I think this is what @juancommander is harvesting.
With @essepuntato we from the @komet project are working on improving OJS metadata dissemination. We won't be able to add preprints, I guess. But we are working in that direction.
@LudoWaltman in an ideal world, predatory scientific journals would not exist. Or scholars would seriously #boycott them.
In an ideal world scientific journals are diamond open access (DOAJ: https://doaj.org/) so that #knowledge produced by #universities would be available without additional costs to whom pay, i.e. every citizen via the taxes.
#science #ScientificJournals #OpenAccess #DiamondOpenAccess
Ping @DOAJ @academia_carnet
@LudoWaltman @stephenpinfield @cwts @RoRInstitute @ASAPbio An under-appreciated factor in the early adoption of preprints by the physical and mathematical sciences was I believe the introduction of TeX for typesetting the mathematics in preprints. Once scientists realised that they could do their own typesetting the journals lost one of their main selling points.
https://council.science/publications/normalization-preprints/
@Luke_Drury @hfalcke @stephenpinfield @cwts @RoRInstitute @ASAPbio
There are indeed major differences between fields in the physical sciences, with Astronomical and Space Sciences as well as Quantum Physics having the highest preprint adoption, followed by Atomic, Molecular, Nuclear, Particle and Plasma Physics. See the figure below for more details.
Note: Field definitions are based on the Fields of Research (FoR) classification in #Dimensions.
@hfalcke @LudoWaltman @stephenpinfield @cwts @RoRInstitute @ASAPbio This data is from 2017, but even then astronomy papers using ESO data were being posted on the arXiv well over 90% of the time and I doubt that it has dropped since.
@Luke_Drury @hfalcke @stephenpinfield @cwts @RoRInstitute @ASAPbio
Over 90%, that's really impressive, a great example for other fields!
Alfredo Sánchez-Tójar
Ludo Waltman
Jeroen Bosman
hauschke
Juan Pablo Alperin
Cristina Del Biaggio
Luke Drury
Dan Goodman
Mike Taylor 🦕
Prof Heino Falcke