Update Climate_site/python_scripts/paper_functions_own_details.py

Climate_site/python_scripts/paper_functions_own_details.py

@@ -434,8 +434,9 @@ def main_authors( research_key_words  , details ,   size):
     dic_papers , dic_papers_ranked = ranking_own_research(  research_key_words  , details ,  False  )
     
     dic_papers_co_authors = {}
+    dic_papers_map = {}
         
-    for paper in list(dic_papers_ranked.keys())[:size]:
+    for paper in list(dic_papers_ranked.keys()):
 
         for k in range(len(dic_papers[paper]["authorships"])):
             coauthor_id = dic_papers[paper]["authorships"][k]["author"]["id"]
@@ -467,9 +468,8 @@ def main_authors( research_key_words  , details ,   size):
 
 
     if dic_papers_co_authors != {}:
-        dic_papers_co_authors = {k: v for k, v in sorted(dic_papers_co_authors.items(), key=lambda item: item[1]["Number of occurence within the " + str(size) + " most related papers"] , reverse = True)}
-
-        for author_name_norm in list(dic_papers_co_authors.keys())[:size]:
+        
+        for author_name_norm in list(dic_papers_co_authors.keys()):
             list_ids = dic_papers_co_authors[author_name_norm]["Author's id(s)"].split(", ")
             work_count = 0
             cited_by_count = 0
@@ -481,6 +481,11 @@ def main_authors( research_key_words  , details ,   size):
                         data = get_data("https://api.openalex.org/people/" + elem)
                         work_count += data["works_count"]
                         cited_by_count += data["cited_by_count"]
+                        
+                        institution_id = None
+                        if data["last_known_institution"] != None and data["last_known_institution"]["id"] != None:
+                            institution_id = data["last_known_institution"]["id"][21:]
+                        
                         if data["last_known_institution"] != None and data["last_known_institution"]["display_name"] != None:
                             if institutions == '':
                                 institutions += data["last_known_institution"]["display_name"]
@@ -492,9 +497,13 @@ def main_authors( research_key_words  , details ,   size):
             dic_papers_co_authors[author_name_norm]["Last Known Institution"] = institutions
             dic_papers_co_authors[author_name_norm]["Number of works"] = work_count
             dic_papers_co_authors[author_name_norm]["Number of citations"] = cited_by_count
+            dic_papers_co_authors[author_name_norm]["Institution_id"] = institution_id
+
+
+        dic_papers_co_authors = {k: v for k, v in sorted(dic_papers_co_authors.items(), key=lambda item: item[1]["Number of occurence within the " + str(200) + " most related papers"] , reverse = True)[:size]}
 
             
-        return pd.DataFrame(dic_papers_co_authors, index = [ "Author's name(s)" , "Author's id(s)" ,  "Number of occurence within the " + str(size) + " most related papers" , "Last Known Institution" , "Number of works" , "Number of citations" ,  "Number of related citations"]).T.style.hide(axis="index")
+        return pd.DataFrame(dic_papers_co_authors, index = [ "Author's name(s)" , "Author's id(s)" ,  "Number of occurence within the " + str(200) + " most related papers" , "Last Known Institution" , "Number of works" , "Number of citations" ,  "Number of related citations"]).T.style.hide(axis="index")
 
     else:
         return ("Select another category")