diff --git a/CITATION.bib b/CITATION.bib
index ab7f89b39..dedc38de8 100644
--- a/CITATION.bib
+++ b/CITATION.bib
@@ -3,10 +3,10 @@ @article{JSSv107i04
  volume={107},
  url={https://www.jstatsoft.org/index.php/jss/article/view/v107i04},
  doi={10.18637/jss.v107.i04},
- abstract={<p>DataFrames.jl is a package written for and in the Julia language offering flexible and efficient handling of tabular data sets in memory. Thanks to Julia’s unique strengths, it provides an appealing set of features: Rich support for standard data processing tasks and excellent flexibility and efficiency for more advanced and non-standard operations. We present the fundamental design of the package and how it compares with implementations of data frames in other languages, its main features, performance, and possible extensions. We conclude with a practical illustration of typical data processing operations.</p>},
+ abstract={DataFrames.jl is a package written for and in the Julia language offering flexible and efficient handling of tabular data sets in memory. Thanks to Julia’s unique strengths, it provides an appealing set of features: Rich support for standard data processing tasks and excellent flexibility and efficiency for more advanced and non-standard operations. We present the fundamental design of the package and how it compares with implementations of data frames in other languages, its main features, performance, and possible extensions. We conclude with a practical illustration of typical data processing operations.},
  number={4},
  journal={Journal of Statistical Software},
  author={Bouchet-Valat, Milan and Kamiński, Bogumił},
  year={2023},
- pages={1–32}
+ pages={1--32}
 }
\ No newline at end of file
diff --git a/docs/src/index.md b/docs/src/index.md
index de55bee32..66ed6f3e5 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -8,7 +8,7 @@ running with tabular data manipulation using the DataFrames.jl package.
 For more illustrations of DataFrames.jl usage, in particular in conjunction with
 other packages you can check-out the following resources
 (they are kept up to date with the released version of DataFrames.jl):
-* [DataFrames.jl: Flexible and Fast Tabular Data in Julia](https://www.jstatsoft.org/article/view/v107i04) article published in Journal of Statistical Software
+* [DataFrames.jl: Flexible and Fast Tabular Data in Julia](https://www.jstatsoft.org/article/view/v107i04) article published in the *Journal of Statistical Software*
 * [Data Wrangling with DataFrames.jl Cheat Sheet](https://www.ahsmart.com/pub/data-wrangling-with-data-frames-jl-cheat-sheet/)
 * [DataFrames Tutorial using Jupyter Notebooks](https://github.com/bkamins/Julia-DataFrames-Tutorial/)
 * [Julia Academy DataFrames.jl tutorial](https://github.com/JuliaAcademy/DataFrames)