Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2052313801', 'doi': 'https://doi.org/10.1007/bf02294134', 'title': 'Correspondence analysis of incomplete contingency tables', 'display_name': 'Correspondence analysis of incomplete contingency tables', 'publication_year': 1988, 'publication_date': '1988-06-01', 'ids': {'openalex': 'https://openalex.org/W2052313801', 'doi': 'https://doi.org/10.1007/bf02294134', 'mag': '2052313801'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/bf02294134', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S186480540', 'display_name': 'Psychometrika', 'issn_l': '0033-3123', 'issn': ['0033-3123', '1860-0980'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5057009278', 'display_name': 'Jan de Leeuw', 'orcid': 'https://orcid.org/0000-0003-1420-1797'}, 'institutions': [{'id': 'https://openalex.org/I121797337', 'display_name': 'Leiden University', 'ror': 'https://ror.org/027bh9e22', 'country_code': 'NL', 'type': 'education', 'lineage': ['https://openalex.org/I121797337']}], 'countries': ['NL'], 'is_corresponding': False, 'raw_author_name': 'Jan de Leeuw', 'raw_affiliation_strings': ['Department of Data Theory, University of Leiden, The Netherlands'], 'affiliations': [{'raw_affiliation_string': 'Department of Data Theory, University of Leiden, The Netherlands', 'institution_ids': ['https://openalex.org/I121797337']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5090384758', 'display_name': 'P.G.M. van der Heijden', 'orcid': 'https://orcid.org/0000-0002-3345-096X'}, 'institutions': [{'id': 'https://openalex.org/I121797337', 'display_name': 'Leiden University', 'ror': 'https://ror.org/027bh9e22', 'country_code': 'NL', 'type': 'education', 'lineage': ['https://openalex.org/I121797337']}], 'countries': ['NL'], 'is_corresponding': False, 'raw_author_name': 'Peter G. M. van der Heijden', 'raw_affiliation_strings': ['Department of Psychometrics, Subfaculty of Psychology, Faculty of Social Sciences, University of Leiden, Leiden, The Netherlands'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychometrics, Subfaculty of Psychology, Faculty of Social Sciences, University of Leiden, Leiden, The Netherlands', 'institution_ids': ['https://openalex.org/I121797337']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 2190, 'currency': 'EUR', 'value_usd': 2790, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 4.467, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 35, 'citation_normalized_percentile': {'value': 0.920764, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 90, 'max': 91}, 'biblio': {'volume': '53', 'issue': '2', 'first_page': '223', 'last_page': '233'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12114', 'display_name': 'Sensory Analysis and Statistical Methods', 'score': 0.9881, 'subfield': {'id': 'https://openalex.org/subfields/1106', 'display_name': 'Food Science'}, 'field': {'id': 'https://openalex.org/fields/11', 'display_name': 'Agricultural and Biological Sciences'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, 'topics': [{'id': 'https://openalex.org/T12114', 'display_name': 'Sensory Analysis and Statistical Methods', 'score': 0.9881, 'subfield': {'id': 'https://openalex.org/subfields/1106', 'display_name': 'Food Science'}, 'field': {'id': 'https://openalex.org/fields/11', 'display_name': 'Agricultural and Biological Sciences'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, {'id': 'https://openalex.org/T11106', 'display_name': 'Data Management and Algorithms', 'score': 0.9408, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/contingency-table', 'display_name': 'Contingency table', 'score': 0.93480706}, {'id': 'https://openalex.org/keywords/correspondence-analysis', 'display_name': 'Correspondence analysis', 'score': 0.9151937}, {'id': 'https://openalex.org/keywords/independence', 'display_name': 'Independence', 'score': 0.7210869}, {'id': 'https://openalex.org/keywords/multiple-correspondence-analysis', 'display_name': 'Multiple correspondence analysis', 'score': 0.6952168}, {'id': 'https://openalex.org/keywords/table', 'display_name': 'Table (database)', 'score': 0.4493164}], 'concepts': [{'id': 'https://openalex.org/C91998498', 'wikidata': 'https://www.wikidata.org/wiki/Q1541178', 'display_name': 'Contingency table', 'level': 2, 'score': 0.93480706}, {'id': 'https://openalex.org/C148298330', 'wikidata': 'https://www.wikidata.org/wiki/Q1784754', 'display_name': 'Correspondence analysis', 'level': 2, 'score': 0.9151937}, {'id': 'https://openalex.org/C35651441', 'wikidata': 'https://www.wikidata.org/wiki/Q625303', 'display_name': 'Independence (probability theory)', 'level': 2, 'score': 0.7210869}, {'id': 'https://openalex.org/C97448799', 'wikidata': 'https://www.wikidata.org/wiki/Q2845212', 'display_name': 'Multiple correspondence analysis', 'level': 2, 'score': 0.6952168}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.57611305}, {'id': 'https://openalex.org/C45235069', 'wikidata': 'https://www.wikidata.org/wiki/Q278425', 'display_name': 'Table (database)', 'level': 2, 'score': 0.4493164}, {'id': 'https://openalex.org/C2777686260', 'wikidata': 'https://www.wikidata.org/wiki/Q144037', 'display_name': 'Calculus (dental)', 'level': 2, 'score': 0.35977727}, {'id': 'https://openalex.org/C144237770', 'wikidata': 'https://www.wikidata.org/wiki/Q747534', 'display_name': 'Mathematical economics', 'level': 1, 'score': 0.3586349}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.3369851}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.30369633}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.15000266}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C199343813', 'wikidata': 'https://www.wikidata.org/wiki/Q12128', 'display_name': 'Dentistry', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/bf02294134', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S186480540', 'display_name': 'Psychometrika', 'issn_l': '0033-3123', 'issn': ['0033-3123', '1860-0980'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.44, 'id': 'https://metadata.un.org/sdg/10', 'display_name': 'Reduced inequalities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 28, 'referenced_works': ['https://openalex.org/W148455047', 'https://openalex.org/W1572124604', 'https://openalex.org/W1966236948', 'https://openalex.org/W1976194443', 'https://openalex.org/W1981783519', 'https://openalex.org/W1991596242', 'https://openalex.org/W1993290273', 'https://openalex.org/W1998281337', 'https://openalex.org/W2038449669', 'https://openalex.org/W2047220320', 'https://openalex.org/W2052696562', 'https://openalex.org/W2057968399', 'https://openalex.org/W2074673068', 'https://openalex.org/W2104146802', 'https://openalex.org/W2139126492', 'https://openalex.org/W2319576313', 'https://openalex.org/W2325276118', 'https://openalex.org/W2509718955', 'https://openalex.org/W2526296318', 'https://openalex.org/W2611591252', 'https://openalex.org/W2795638937', 'https://openalex.org/W2797791043', 'https://openalex.org/W2801464996', 'https://openalex.org/W2898433815', 'https://openalex.org/W4238306122', 'https://openalex.org/W4285719527', 'https://openalex.org/W4300185665', 'https://openalex.org/W560853453'], 'related_works': ['https://openalex.org/W4302767885', 'https://openalex.org/W4252639584', 'https://openalex.org/W4233529781', 'https://openalex.org/W3125815875', 'https://openalex.org/W3122705946', 'https://openalex.org/W2919086561', 'https://openalex.org/W2052313801', 'https://openalex.org/W1999836890', 'https://openalex.org/W1526722734', 'https://openalex.org/W1510192517'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2052313801', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 2}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}, {'year': 2014, 'cited_by_count': 3}, {'year': 2013, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 2}], 'updated_date': '2024-12-16T19:56:20.921211', 'created_date': '2016-06-24'}