Update pages/5 Burst Detection.py

pages/5 Burst Detection.py

@@ -74,6 +74,12 @@ with st.expander("Before you start", expanded = True):
         | Lens.org       | Comma-separated values |                                  |
         |                | (.csv)                 |                                  |
         +----------------+------------------------|                                  |
+        | Dimensions     | Comma-separated values |                                  |
+        |                | (.csv)                 |                                  |
+        +----------------+------------------------|                                  |
+        | OpenAlex       | Comma-separated values |                                  |
+        |                | (.csv)                 |                                  |
+        +----------------+------------------------|                                  |
         | Other          | .csv .xls .xlsx        |                                  |
         +----------------+------------------------|                                  |
         | Hathitrust     | .json                  |                                  |
@@ -111,8 +117,9 @@ def upload(extype):
     #lens.org
     if 'Publication Year' in df.columns:
                df.rename(columns={'Publication Year': 'Year', 'Citing Works Count': 'Cited by',
-                                     'Publication Type': 'Document Type', 'Source Title': 'Source title'}, inplace=True)
-    if "About the data" in df.columns[0]:
+                                  'Publication Type': 'Document Type', 'Source Title': 'Source title'}, inplace=True)
+        
+    elif "About the data" in df.columns[0]:
         df = sf.dim(df)
         col_dict = {'MeSH terms': 'Keywords',
         'PubYear': 'Year',
@@ -120,7 +127,10 @@ def upload(extype):
         'Publication Type': 'Document Type'
         }
         df.rename(columns=col_dict, inplace=True)
-    
+        
+    elif "ids.openalex" in df.columns:
+        df.rename(columns={'publication_year': 'Year'}, inplace=True)
+        
     return df
 
 @st.cache_data(ttl=3600)