diff --git a/docs/_src/api/api/other.md b/docs/_src/api/api/other.md
index 0c4324d15..67995fbd4 100644
--- a/docs/_src/api/api/other.md
+++ b/docs/_src/api/api/other.md
@@ -30,6 +30,7 @@ A node to join documents outputted by multiple retriever nodes.
 
 The node allows multiple join modes:
 * concatenate: combine the documents from multiple nodes. Any duplicate documents are discarded.
+               The score is only determined by the last node that outputs the document.
 * merge: merge scores of documents from multiple nodes. Optionally, each input score can be given a different
          `weight` & a `top_k` limit can be set. This mode can also be used for "reranking" retrieved documents.
 * reciprocal_rank_fusion: combines the documents based on their rank in multiple nodes.
diff --git a/docs/_src/tutorials/tutorials/5.md b/docs/_src/tutorials/tutorials/5.md
index 42bc77310..2e9407b0c 100644
--- a/docs/_src/tutorials/tutorials/5.md
+++ b/docs/_src/tutorials/tutorials/5.md
@@ -289,7 +289,7 @@ More info on this metric can be found in our [paper](https://arxiv.org/abs/2108.
 
 ```python
 advanced_eval_result = pipeline.eval(
-    labels=eval_labels, params={"Retriever": {"top_k": 1}}, sas_model_name_or_path="cross-encoder/stsb-roberta-large"
+    labels=eval_labels, params={"Retriever": {"top_k": 5}}, sas_model_name_or_path="cross-encoder/stsb-roberta-large"
 )
 
 metrics = advanced_eval_result.calculate_metrics()
diff --git a/haystack/nodes/other/join_docs.py b/haystack/nodes/other/join_docs.py
index bd111046b..7c9f46b69 100644
--- a/haystack/nodes/other/join_docs.py
+++ b/haystack/nodes/other/join_docs.py
@@ -12,6 +12,7 @@ class JoinDocuments(BaseComponent):
 
     The node allows multiple join modes:
     * concatenate: combine the documents from multiple nodes. Any duplicate documents are discarded.
+                   The score is only determined by the last node that outputs the document.
     * merge: merge scores of documents from multiple nodes. Optionally, each input score can be given a different
              `weight` & a `top_k` limit can be set. This mode can also be used for "reranking" retrieved documents.
     * reciprocal_rank_fusion: combines the documents based on their rank in multiple nodes.