Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2250271181', 'doi': None, 'title': 'Issues on the Estimation of Latent Variable and Latent Class Models with Social Science Applications', 'display_name': 'Issues on the Estimation of Latent Variable and Latent Class Models with Social Science Applications', 'publication_year': 2004, 'publication_date': '2004-07-06', 'ids': {'openalex': 'https://openalex.org/W2250271181', 'mag': '2250271181'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://boa.unimib.it/handle/10281/46004?mode=full.13', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], '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/A5083293642', 'display_name': 'Pennoni', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': True, 'raw_author_name': 'Pennoni', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': ['https://openalex.org/A5083293642'], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.305, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.78002, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 61, 'max': 68}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T14484', 'display_name': 'Big Data Analysis in Various Industries', 'score': 0.8511, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T14484', 'display_name': 'Big Data Analysis in Various Industries', 'score': 0.8511, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T13910', 'display_name': 'Computational Text Analysis in Social Sciences', 'score': 0.8109, 'subfield': {'id': 'https://openalex.org/subfields/3300', 'display_name': 'General Social Sciences'}, 'field': {'id': 'https://openalex.org/fields/33', 'display_name': 'Social Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/social-science-research', 'display_name': 'Social Science Research', 'score': 0.637894}, {'id': 'https://openalex.org/keywords/topic-modeling', 'display_name': 'Topic Modeling', 'score': 0.591807}, {'id': 'https://openalex.org/keywords/quantitative-analysis', 'display_name': 'Quantitative Analysis', 'score': 0.561034}, {'id': 'https://openalex.org/keywords/computational-text-analysis', 'display_name': 'Computational Text Analysis', 'score': 0.534509}, {'id': 'https://openalex.org/keywords/content-analysis', 'display_name': 'Content Analysis', 'score': 0.519939}], 'concepts': [{'id': 'https://openalex.org/C70727504', 'wikidata': 'https://www.wikidata.org/wiki/Q1806878', 'display_name': 'Latent class model', 'level': 2, 'score': 0.7973074}, {'id': 'https://openalex.org/C51167844', 'wikidata': 'https://www.wikidata.org/wiki/Q4422623', 'display_name': 'Latent variable', 'level': 2, 'score': 0.717695}, {'id': 'https://openalex.org/C65965080', 'wikidata': 'https://www.wikidata.org/wiki/Q1806885', 'display_name': 'Latent variable model', 'level': 3, 'score': 0.5507334}, {'id': 'https://openalex.org/C96250715', 'wikidata': 'https://www.wikidata.org/wiki/Q965330', 'display_name': 'Estimation', 'level': 2, 'score': 0.49606666}, {'id': 'https://openalex.org/C2777212361', 'wikidata': 'https://www.wikidata.org/wiki/Q5127848', 'display_name': 'Class (philosophy)', 'level': 2, 'score': 0.4899208}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.44555405}, {'id': 'https://openalex.org/C112933361', 'wikidata': 'https://www.wikidata.org/wiki/Q2845258', 'display_name': 'Probabilistic latent semantic analysis', 'level': 2, 'score': 0.43274966}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.42225522}, {'id': 'https://openalex.org/C182365436', 'wikidata': 'https://www.wikidata.org/wiki/Q50701', 'display_name': 'Variable (mathematics)', 'level': 2, 'score': 0.4168474}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.32101253}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.27631015}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.25705776}, {'id': 'https://openalex.org/C162324750', 'wikidata': 'https://www.wikidata.org/wiki/Q8134', 'display_name': 'Economics', 'level': 0, 'score': 0.14900541}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C187736073', 'wikidata': 'https://www.wikidata.org/wiki/Q2920921', 'display_name': 'Management', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://boa.unimib.it/handle/10281/46004?mode=full.13', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/10', 'score': 0.73, 'display_name': 'Reduced inequalities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W55638468', 'https://openalex.org/W36781202', 'https://openalex.org/W3092015350', 'https://openalex.org/W3008585384', 'https://openalex.org/W2916948792', 'https://openalex.org/W2485810333', 'https://openalex.org/W2345106119', 'https://openalex.org/W2294143590', 'https://openalex.org/W2270140793', 'https://openalex.org/W2246281592', 'https://openalex.org/W2189327466', 'https://openalex.org/W2152343454', 'https://openalex.org/W2130110160', 'https://openalex.org/W1979236105', 'https://openalex.org/W1607536155', 'https://openalex.org/W1560365551', 'https://openalex.org/W1527744734', 'https://openalex.org/W1517629005', 'https://openalex.org/W1488146140', 'https://openalex.org/W1011503027'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2250271181', 'counts_by_year': [], 'updated_date': '2024-09-17T03:18:09.812506', 'created_date': '2016-06-24'}