update docs/first page

Author: Gerit Wagner

docs/source/index.rst

@@ -17,14 +17,14 @@ Search-Query Documentation
    :target: https://mybinder.org/v2/gh/CoLRev-Environment/search-query/HEAD?labpath=docs%2Fsource%2Fdemo.ipynb
 
 Search-query is a Python package for **translating academic literature search queries (i.e., parsing and serializing)**, but also for **validating, simplifying, and improving** them.
-It implements various syntax validation checks ("linters" for search queries) and prints instructive messages to inform users about potential issues.
+It implements various syntax validation checks (aka. linters) and prints instructive messages to inform users about potential issues.
+These checks are valuable for preventing errors—an important step given that previous studies have found high error rates in search queries (Li & Rainer, 2023: **50%**; Salvador-Oliván et al., 2019: **90%**; Sampson & McGowan, 2006: **80%**).
 
 We currently support PubMed, EBSCOHost, and Web of Science, but plan to extend search-query to support other databases.
-As a default it relies on the JSON schema proposed by an expert panel (Haddaway et al., 2022).
 The package can be used programmatically or through the command line, has zero dependencies, and can therefore be integrated in a variety of environments.
-The heuristics, parsers, and linters are battle-tested on over 500 peer-reviewed queries registered at `searchRxiv <https://www.cabidigitallibrary.org/journal/searchrxiv>`_.
+The parsers, and linters are battle-tested on over **500 (TO UPDATE)** peer-reviewed queries registered at `searchRxiv <https://www.cabidigitallibrary.org/journal/searchrxiv>`_.
 
-A demo in a Jupyter Notebook (hosted on Binder) is available here:
+A Jupyter Notebook demo (hosted on Binder) is available here:
 
 .. image:: https://mybinder.org/badge_logo.svg
    :target: https://mybinder.org/v2/gh/CoLRev-Environment/search-query/HEAD?labpath=docs%2Fsource%2Fdemo.ipynb
@@ -209,7 +209,21 @@ To develop a parser, see `dev-parser <dev_docs/parser.html>`_ docs.
 References
 ----------------
 
-Haddaway, N. R., Rethlefsen, M. L., Davies, M., Glanville, J., McGowan, B., Nyhan, K., & Young, S. (2022). A suggested data structure for transparent and repeatable reporting of bibliographic searching. *Campbell Systematic Reviews*, 18(4), e1288. doi:`10.1002/cl2.1288 <https://onlinelibrary.wiley.com/doi/full/10.1002/cl2.1288>`_
+.. parsed-literal::
+
+   Haddaway, N. R., Rethlefsen, M. L., Davies, M., Glanville, J., McGowan, B., Nyhan, K., & Young, S. (2022).
+     A suggested data structure for transparent and repeatable reporting of bibliographic searching.
+     *Campbell Systematic Reviews*, 18(4), e1288. doi: `10.1002/cl2.1288 <https://onlinelibrary.wiley.com/doi/full/10.1002/cl2.1288>`_
+
+    Li, Z., & Rainer, A. (2023). Reproducible Searches in Systematic Reviews: An Evaluation and Guidelines.
+      IEEE Access, 11, 84048–84060. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3299211
+
+    Salvador-Oliván, J. A., Marco-Cuenca, G., & Arquero-Avilés, R. (2019).
+      Errors in search strategies used in systematic reviews and their effects on information retrieval. Journal of the Medical Library Association : JMLA, 107(2), 210. https://doi.org/10.5195/jmla.2019.567
+
+    Sampson, M., & McGowan, J. (2006). Errors in search strategies were identified by type and frequency.
+      Journal of Clinical Epidemiology, 59(10), 1057–1063. https://doi.org/10.1016/j.jclinepi.2006.01.007
+
 
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