Doc: Add citations/year figure

doc/.gitignore

@@ -4,3 +4,4 @@ _exhale_cpp_api/
 examples/example_presimulation/model_presimulation/
 generated/
 build_doxygen/
+gfx/usage_by_year.png

doc/conf.py

@@ -9,6 +9,7 @@
 import subprocess
 import sys
 from enum import EnumType
+from pathlib import Path
 from unittest import mock
 
 import sphinx
@@ -64,6 +65,16 @@ def install_doxygen():
     assert version in res.stdout.decode()
 
 
+def execute_pre_sphinx_scripts():
+    """Execute scripts that need to be run before Sphinx is executed."""
+    script_dir = Path(__file__).parent / "pre-sphinx.d"
+    assert script_dir.is_dir()
+
+    for script in sorted(script_dir.glob("*.py")):
+        print(f"Executing pre-Sphinx script {script}")
+        subprocess.run([sys.executable, str(script)], check=True)
+
+
 # -- Path setup --------------------------------------------------------------
 
 # If extensions (or modules to document with autodoc) are in another directory,
@@ -78,6 +89,7 @@ def install_doxygen():
 if "READTHEDOCS" in os.environ and os.environ["READTHEDOCS"]:
     install_doxygen()
 
+execute_pre_sphinx_scripts()
 
 # -- Project information -----------------------------------------------------
 # The short X.Y version
@@ -186,6 +198,7 @@ def install_doxygen():
 # This pattern also affects html_static_path and html_extra_path .
 exclude_patterns = [
     "_build",
+    "pre-sphinx.d",
     "Thumbs.db",
     ".DS_Store",
     "**.ipynb_checkpoints",

doc/pre-sphinx.d/README.md

@@ -0,0 +1,9 @@
+# Pre-sphinx scripts
+
+This directory contains scripts that are executed before the documentation is
+built by Sphinx.
+These scripts are used to generate content that is included in the
+documentation, such as tables, figures, or other data that we do not want to
+have under version control.
+The scripts are executed in lexicographical order,
+see [../conf.py](../conf.py) for details.

doc/pre-sphinx.d/usage_by_year.py

@@ -0,0 +1,35 @@
+#!/usr/bin/env python
+"""Create barplot of AMICI publications by year."""
+
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import pandas as pd
+
+
+def main():
+    script_path = Path(__file__).parent
+    outfile = script_path.parent / "gfx" / "usage_by_year.png"
+
+    # set rcParams for better readability
+    plt.rcParams.update(
+        {
+            "figure.figsize": (5, 3),
+            "figure.dpi": 150,
+            "axes.titlesize": 14,
+            "axes.labelsize": 12,
+            "xtick.labelsize": 10,
+            "ytick.labelsize": 10,
+        }
+    )
+
+    df = pd.read_csv(script_path.parent / "usage_by_year.csv")
+    plt.bar(df.year, df.citations)
+    plt.xlabel("Year")
+    plt.ylabel("Citations")
+    plt.tight_layout()
+    plt.savefig(outfile)
+
+
+if __name__ == "__main__":
+    main()

doc/recreate_reference_list.py

@@ -8,16 +8,17 @@
 Requires pandoc
 """
 
-import os
 import subprocess
 import sys
+from pathlib import Path
 
 import biblib.algo
 import biblib.bib
 import biblib.messages
+import pandas as pd
 
 
-def get_keys_by_year(bibfile):
+def get_keys_by_year(bibfile: Path) -> dict[str, list[str]]:
     """Get bibtex entry keys as dict by year"""
 
     with open(bibfile) as f:
@@ -37,10 +38,9 @@ def get_keys_by_year(bibfile):
     return by_year
 
 
-def get_sub_bibliography(year, by_year, bibfile):
+def get_sub_bibliography(year, by_year, bibfile: Path):
     """Get HTML bibliography for the given year"""
-
-    entries = ",".join(["@" + x for x in by_year[year]])
+    entries = ",".join([f"@{x}" for x in by_year[year]])
     stdin_input = (
         f'---\nbibliography: {bibfile}\nnocite: "{entries}"\n...\n# {year}'
     )
@@ -58,9 +58,9 @@ def get_sub_bibliography(year, by_year, bibfile):
 
 
 def main():
-    script_path = os.path.dirname(os.path.realpath(__file__))
-    bibfile = os.path.join(script_path, "amici_refs.bib")
-    outfile = os.path.join(script_path, "references.md")
+    script_path = Path(__file__).parent
+    bibfile = script_path / "amici_refs.bib"
+    outfile = script_path / "references.md"
 
     by_year = get_keys_by_year(bibfile)
     num_total = sum(map(len, by_year.values()))
@@ -77,6 +77,7 @@ def main():
             "?labels=documentation&title=Add+publication"
             "&body=AMICI+was+used+in+this+manuscript:+DOI).\n\n"
         )
+        f.write("![AMICI usage over time](gfx/usage_by_year.png)\n\n")
         f.write(
             """
 <style>
@@ -86,10 +87,19 @@ def main():
 </style>\n
 """
         )
+
         for year in reversed(sorted(by_year.keys())):
             cur_bib = get_sub_bibliography(year, by_year, bibfile)
             f.write(cur_bib)
 
+    # Save table with citations / year
+    years = list(sorted(by_year.keys()))
+    citations = [len(by_year[year]) for year in years]
+
+    pd.DataFrame({"year": years, "citations": citations}).to_csv(
+        script_path / "usage_by_year.csv", index=False
+    )
+
 
 if __name__ == "__main__":
     main()

doc/references.md

@@ -5,6 +5,8 @@ List of publications using AMICI. Total number is 111.
 If you applied AMICI in your work and your publication is missing, please let us know via a new
 [GitHub issue](https://github.com/AMICI-dev/AMICI/issues/new?labels=documentation&title=Add+publication&body=AMICI+was+used+in+this+manuscript:+DOI).
 
+![AMICI usage over time](gfx/usage_by_year.png)
+
 
 <style>
 .csl-entry {

doc/usage_by_year.csv

@@ -0,0 +1,13 @@
+year,citations
+2015,1
+2016,6
+2017,5
+2018,11
+2019,12
+2020,11
+2021,13
+2022,10
+2023,12
+2024,15
+2025,14
+2026,1