Add new citation info

README.md

@@ -15,7 +15,13 @@ It is written entirely in Python, using plotly to visualise the data, and is als
 The code is available at [MJCliffe/PASCal](https://github.com/MJCliffe/PASCal) on GitHub, and the documentation at [docs.pascalapp.co.uk](https://docs.pascalapp.co.uk).
 Installation instructions can be found [below](#offline-installation), and example Jupyter notebooks showcasing the functionality can be found in `./examples` folder on GitHub, or in the online documentation.
 
-A paper summarising the original motivation and theory behind PASCal is published at [J. Appl. Cryst. (2012). 45, 1321-1329](https://doi.org/10.1107/S0021889812043026) ([arXiv](http://arxiv.org/pdf/1204.3007.pdf)). Please cite this if you use PASCal in a publication. This publication was produced for a previous version of PASCal and so description of the software itself is out of date. PASCal as designed might not be the most appropriate method for full analysis of your data, so please read the sections below on [errors](#errors), [fitting](#fitting) and [strains](#strain-calculation) if you have particular needs.
+PASCal as designed might not be the most appropriate method for full analysis of your data, so please read the sections below on [errors](#errors), [fitting](#fitting) and [strains](#strain-calculation) if you have particular needs.
+
+## How to cite
+
+A paper summarising the original motivation and theory behind PASCal is published at [J. Appl. Cryst. (2012). 45, 1321-1329](https://doi.org/10.1107/S0021889812043026) ([arXiv](http://arxiv.org/pdf/1204.3007.pdf)).
+
+If you use PASCal v2+ in a publication, please cite the latest published description of the software: [Lertkiattraku *et al.*, Journal of Open Source Software (2023)](https://joss.theoj.org/papers/3bfe66743c9a86f34d3c1b2f17906261).
 
 # Quick start
 

src/PASCal/templates/index.html

@@ -295,7 +295,8 @@ <h2>Options</h2>
         Developed by Monthakan Lertkiattrakul and <a class="link" href="https://cliffe.nottingham.ac.uk/">Matthew Cliffe</a> at the University of Nottingham, with contributions from <a href="https://ml-evs.science">Matthew Evans</a>,
         based off the <a href="http://pascal.chem.ox.ac.uk/">original version</a> developed by Matthew Cliffe and <a href="http://goodwin.chem.ox.ac.uk/">Andrew Goodwin</a> at the University of Oxford.
         The code and further information is available on GitHub at <a class="link" href = "https://github.com/MJCliffe/PASCal"><i class="fa-brands fa-github"></i> MJCliffe/PASCal</a>, and bugs, errors or feature requests can also be <a href="https://github.com/MJCliffe/PASCal/blob/Live/CONTRIBUTING.md">submitted.</a> Additional comments please email Matthew.Cliffe[at]nottingham.ac.uk <br />
-        Please cite <a class="link" href="http://dx.doi.org/10.1107/S0021889812043026">M.J. Cliffe and A.L. Goodwin, J. Appl. Cryst. (2012). 45, 1321-1329</a>.
+        Please cite <a class="link" href="https://joss.theoj.org/papers/3bfe66743c9a86f34d3c1b2f17906261"><i class="ai ai-doi"></i>Lertkiattrakul <i>et al.</i>, PASCal Python: Principal Axis Strain Calculator, JOSS (2023).</a>
+        For more background and methods, please cite <a class="link" href="http://dx.doi.org/10.1107/S0021889812043026"><i class="ai ai-doi"></i>M.J. Cliffe and A.L. Goodwin, J. Appl. Cryst. (2012). 45, 1321-1329</a>.
         The preprint is available at <a class="link" href="http://arxiv.org/abs/1204.3007"><i class="ai ai-arxiv"></i>arXiv:1204.3007</a>.
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