Dear ImageJ community,
What journals will publish, or in what journals would you expect, articles on an ImageJ plug-in (Description of the algorithm, validation measurements), or more generally a bit of open-source scientific software ? Specifically I wrote a plug-in for surface tension measurement (through the pendant drop method), which I validated with a few liquids of known interfacial energy, and was wondering whether there are peer-reviewed journals for this kind of thing. As you'd expect the data fitting algorithm itself has nothing particularly revolutionary about it, so machine vision journals are way off. Targetting the "life scientists and chemists" there is of course Nature Methods, where articles on ImageJ (Schneider, Rasband, Eliceiri 2012) and Fiji (Schindelin et al.) have been published, and a couple of other journals (Bioinformatics, Biotechnology J, PLoS One, Biophotonics Int.), as I can see on http://fiji.sc/Publications While chemists might occasionaly be interested in surface tensions, and very rarely the life scientists, there are maybe similar journals for physicists, material scientists, or the general scientific public, that would better suit a plug-in for interfacial energy measurement ? thanks in advance for any input, Adrian -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Hi Adrian,
See this list: http://www.software.ac.uk/resources/guides/which-journals-should-i-publish-my-software In particular the new Journal of Open Research Software if you just need to document your code and get a DOI http://openresearchsoftware.metajnl.com/ Michael ________________________________________ From: ImageJ Interest Group [[hidden email]] on behalf of Adrian Daerr [[hidden email]] Sent: 16 April 2013 11:24 To: [hidden email] Subject: Journals to publish plug-ins ? Dear ImageJ community, What journals will publish, or in what journals would you expect, articles on an ImageJ plug-in (Description of the algorithm, validation measurements), or more generally a bit of open-source scientific software ? Specifically I wrote a plug-in for surface tension measurement (through the pendant drop method), which I validated with a few liquids of known interfacial energy, and was wondering whether there are peer-reviewed journals for this kind of thing. As you'd expect the data fitting algorithm itself has nothing particularly revolutionary about it, so machine vision journals are way off. Targetting the "life scientists and chemists" there is of course Nature Methods, where articles on ImageJ (Schneider, Rasband, Eliceiri 2012) and Fiji (Schindelin et al.) have been published, and a couple of other journals (Bioinformatics, Biotechnology J, PLoS One, Biophotonics Int.), as I can see on http://fiji.sc/Publications While chemists might occasionaly be interested in surface tensions, and very rarely the life scientists, there are maybe similar journals for physicists, material scientists, or the general scientific public, that would better suit a plug-in for interfacial energy measurement ? thanks in advance for any input, Adrian -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html [http://www.rvc.ac.uk/cf_images/button_rvc.png]<http://www.rvc.ac.uk> [http://www.rvc.ac.uk/cf_images/button_twitter.png] <http://twitter.com/RoyalVetCollege> [http://www.rvc.ac.uk/cf_images/button_facebook.png] <http://www.facebook.com/theRVC> This message, together with any attachments, is intended for the stated addressee(s) only and may contain privileged or confidential information. Any views or opinions presented are solely those of the author and do not necessarily represent those of the Royal Veterinary College (RVC). If you are not the intended recipient, please notify the sender and be advised that you have received this message in error and that any use, dissemination, forwarding, printing, or copying is strictly prohibited. Unless stated expressly in this email, this email does not create, form part of, or vary any contractual or unilateral obligation. Email communication cannot be guaranteed to be secure or error free as information could be intercepted, corrupted, amended, lost, destroyed, incomplete or contain viruses. Therefore, we do not accept liability for any such matters or their consequences. Communication with us by email will be taken as acceptance of the risks inherent in doing so. -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
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