Minor doc tweak

README.rst

@@ -14,7 +14,7 @@ BIDScoin: Coin your imaging data to BIDS
 
 |PyPI version| |Neurodesk| |BIDS| |Python Version| |GPLv3| |RTD| |Tests| |DOI|
 
-BIDScoin is a user-friendly Python application suite that converts ("coins") source-level (raw) neuroimaging data sets to standardized data sets that are organized according to the Brain Imaging Data Structure (`BIDS <https://bids-specification.readthedocs.io>`__) specification. Rather than depending on complex programmatic logic for source data-type identification, BIDScoin uses a mapping approach to discover the different source data types in your repository and convert them into BIDS data types. Different runs of source data are uniquely identified by their file system properties (e.g. file name or size) and by their attributes (e.g. ``ProtocolName`` from the DICOM header). Mapping information can be pre-specified (e.g. per site), allowing BIDScoin to make intelligent first suggestions on how to classify and convert the data. While this command-line procedure exploits all information available on disk, BIDScoin presents a `Graphical User Interface (GUI) <./screenshots.html>`__ for researchers to check and edit these mappings -- bringing in the missing knowledge that often exists only in their heads.
+BIDScoin is a user-friendly Python application suite that converts ("coins") source-level (raw) neuroimaging data sets to standardized data sets that are organized according to the Brain Imaging Data Structure (`BIDS <https://bids-specification.readthedocs.io>`__) specification. Rather than depending on complex programmatic logic for source data-type identification, BIDScoin uses a mapping approach to discover the different source data types in your repository and convert them into BIDS data types. Different runs of source data are uniquely identified by their file system properties (e.g. file name or size) and by their attributes (e.g. ``ProtocolName`` from the DICOM header). Mapping information can be pre-specified (e.g. per site), allowing BIDScoin to make intelligent first suggestions on how to classify and convert the data. While this command-line procedure exploits all information available on disk and can be used in a programmatic way only, BIDScoin offers a `Graphical User Interface (GUI) <./screenshots.html>`__ for researchers to check and edit these mappings -- bringing in the missing knowledge that often exists in their heads only.
 
 Data conversions are performed within plugins, such as plugins that employ `dcm2niix <https://github.com/rordenlab/dcm2niix>`__, `spec2nii <https://github.com/wtclarke/spec2nii>`__ or `nibabel <https://nipy.org/nibabel>`__.
 
@@ -42,10 +42,11 @@ Features
   ``** = Only Twix, SDAT/SPAR and P-file source data``
 
 .. note::
+
    * All **source code** is hosted at `Github <https://github.com/Donders-Institute/bidscoin>`__ and **freely available** under the GPL-3.0-or-later `license <https://spdx.org/licenses/GPL-3.0-or-later.html>`__.
    * The full BIDScoin **documentation** is hosted at `Read the Docs <https://bidscoin.readthedocs.io>`__
    * For citation and more information, see our `BIDScoin publication <https://www.frontiersin.org/articles/10.3389/fninf.2021.770608>`__ in **Frontiers in Neuroinformatics** (`DOI: 10.3389/fninf.2021.770608 <https://doi.org/10.3389/fninf.2021.770608>`__). See `here <./plugins.html>`__ for citations of the plugins. A custom-made citation report can be generated with the help of `duecredit <https://github.com/duecredit/duecredit>`__
-   * You are encouraged to **post issues or questions at** `Github <https://github.com/Donders-Institute/bidscoin/issues>`__ or `NeuroStars <https://neurostars.org/tag/bidscoin>`__
+   * You are encouraged to **post issues or questions at** `Github <https://github.com/Donders-Institute/bidscoin/issues>`__ or `NeuroStars <https://neurostars.org/tag/bidscoin>`__ (tag: #bidscoin)
 
 How to contribute
 -----------------