Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2062788471', 'doi': 'https://doi.org/10.1109/tnb.2015.2403274', 'title': 'Resting-State Whole-Brain Functional Connectivity Networks for MCI Classification Using L2-Regularized Logistic Regression', 'display_name': 'Resting-State Whole-Brain Functional Connectivity Networks for MCI Classification Using L2-Regularized Logistic Regression', 'publication_year': 2015, 'publication_date': '2015-02-12', 'ids': {'openalex': 'https://openalex.org/W2062788471', 'doi': 'https://doi.org/10.1109/tnb.2015.2403274', 'mag': '2062788471', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/25700453'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tnb.2015.2403274', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S187110076', 'display_name': 'IEEE Transactions on NanoBioscience', 'issn_l': '1536-1241', 'issn': ['1536-1241', '1558-2639'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], '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/A5100353431', 'display_name': 'Xiaowei Zhang', 'orcid': 'https://orcid.org/0000-0001-8562-416X'}, 'institutions': [{'id': 'https://openalex.org/I76214153', 'display_name': 'Lanzhou University', 'ror': 'https://ror.org/01mkqqe32', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76214153']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xiaowei Zhang', 'raw_affiliation_strings': ['School of Information Science & Engineering Lanzhou University Lanzhou China'], 'affiliations': [{'raw_affiliation_string': 'School of Information Science & Engineering Lanzhou University Lanzhou China', 'institution_ids': ['https://openalex.org/I76214153']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100380066', 'display_name': 'Bin Hu', 'orcid': 'https://orcid.org/0000-0003-3514-5413'}, 'institutions': [{'id': 'https://openalex.org/I76214153', 'display_name': 'Lanzhou University', 'ror': 'https://ror.org/01mkqqe32', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76214153']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Bin Hu', 'raw_affiliation_strings': ['School of Information Science & Engineering Lanzhou University Lanzhou China'], 'affiliations': [{'raw_affiliation_string': 'School of Information Science & Engineering Lanzhou University Lanzhou China', 'institution_ids': ['https://openalex.org/I76214153']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5101689977', 'display_name': 'Xu Ma', 'orcid': 'https://orcid.org/0000-0001-9714-3558'}, 'institutions': [{'id': 'https://openalex.org/I76214153', 'display_name': 'Lanzhou University', 'ror': 'https://ror.org/01mkqqe32', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76214153']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xu Ma', 'raw_affiliation_strings': ['School of Information Science & Engineering Lanzhou University Lanzhou China'], 'affiliations': [{'raw_affiliation_string': 'School of Information Science & Engineering Lanzhou University Lanzhou China', 'institution_ids': ['https://openalex.org/I76214153']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5067448488', 'display_name': 'Linxin Xu', 'orcid': 'https://orcid.org/0000-0003-1576-8701'}, 'institutions': [{'id': 'https://openalex.org/I76214153', 'display_name': 'Lanzhou University', 'ror': 'https://ror.org/01mkqqe32', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76214153']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Linxin Xu', 'raw_affiliation_strings': ['School of Information Science & Engineering Lanzhou University Lanzhou China'], 'affiliations': [{'raw_affiliation_string': 'School of Information Science & Engineering Lanzhou University Lanzhou China', 'institution_ids': ['https://openalex.org/I76214153']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 2.766, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 67, 'citation_normalized_percentile': {'value': 0.854303, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 97, 'max': 98}, 'biblio': {'volume': '14', 'issue': '2', 'first_page': '237', 'last_page': '247'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10241', 'display_name': 'Functional Brain Connectivity Studies', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2805', 'display_name': 'Cognitive Neuroscience'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10241', 'display_name': 'Functional Brain Connectivity Studies', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2805', 'display_name': 'Cognitive Neuroscience'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, {'id': 'https://openalex.org/T10378', 'display_name': 'Advanced MRI Techniques and Applications', 'score': 0.9955, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, {'id': 'https://openalex.org/T10581', 'display_name': 'Neural dynamics and brain function', 'score': 0.9882, 'subfield': {'id': 'https://openalex.org/subfields/2805', 'display_name': 'Cognitive Neuroscience'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/discriminative-model', 'display_name': 'Discriminative model', 'score': 0.6559288}, {'id': 'https://openalex.org/keywords/cross-validation', 'display_name': 'Cross-validation', 'score': 0.43651158}, {'id': 'https://openalex.org/keywords/distance-correlation', 'display_name': 'Distance correlation', 'score': 0.41454864}], 'concepts': [{'id': 'https://openalex.org/C97931131', 'wikidata': 'https://www.wikidata.org/wiki/Q5282087', 'display_name': 'Discriminative model', 'level': 2, 'score': 0.6559288}, {'id': 'https://openalex.org/C151956035', 'wikidata': 'https://www.wikidata.org/wiki/Q1132755', 'display_name': 'Logistic regression', 'level': 2, 'score': 0.62657905}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.601679}, {'id': 'https://openalex.org/C66324658', 'wikidata': 'https://www.wikidata.org/wiki/Q7316120', 'display_name': 'Resting state fMRI', 'level': 2, 'score': 0.6002929}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5782935}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.5715583}, {'id': 'https://openalex.org/C117220453', 'wikidata': 'https://www.wikidata.org/wiki/Q5172842', 'display_name': 'Correlation', 'level': 2, 'score': 0.55015475}, {'id': 'https://openalex.org/C58471807', 'wikidata': 'https://www.wikidata.org/wiki/Q327120', 'display_name': 'Receiver operating characteristic', 'level': 2, 'score': 0.53628755}, {'id': 'https://openalex.org/C2779226451', 'wikidata': 'https://www.wikidata.org/wiki/Q903809', 'display_name': 'Functional magnetic resonance imaging', 'level': 2, 'score': 0.5218969}, {'id': 'https://openalex.org/C55078378', 'wikidata': 'https://www.wikidata.org/wiki/Q1136628', 'display_name': 'Pearson product-moment correlation coefficient', 'level': 2, 'score': 0.5139794}, {'id': 'https://openalex.org/C95623464', 'wikidata': 'https://www.wikidata.org/wiki/Q1096149', 'display_name': 'Classifier (UML)', 'level': 2, 'score': 0.47092313}, {'id': 'https://openalex.org/C12267149', 'wikidata': 'https://www.wikidata.org/wiki/Q282453', 'display_name': 'Support vector machine', 'level': 2, 'score': 0.46607542}, {'id': 'https://openalex.org/C27181475', 'wikidata': 'https://www.wikidata.org/wiki/Q541014', 'display_name': 'Cross-validation', 'level': 2, 'score': 0.43651158}, {'id': 'https://openalex.org/C83546350', 'wikidata': 'https://www.wikidata.org/wiki/Q1139051', 'display_name': 'Regression', 'level': 2, 'score': 0.43426}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.43223727}, {'id': 'https://openalex.org/C121694360', 'wikidata': 'https://www.wikidata.org/wiki/Q5282862', 'display_name': 'Distance correlation', 'level': 3, 'score': 0.41454864}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.24955493}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.23048648}, {'id': 'https://openalex.org/C15744967', 'wikidata': 'https://www.wikidata.org/wiki/Q9418', 'display_name': 'Psychology', 'level': 0, 'score': 0.11873448}, {'id': 'https://openalex.org/C169760540', 'wikidata': 'https://www.wikidata.org/wiki/Q207011', 'display_name': 'Neuroscience', 'level': 1, 'score': 0.1042327}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D001921', 'descriptor_name': 'Brain', 'qualifier_ui': 'Q000503', 'qualifier_name': 'physiopathology', 'is_major_topic': True}, {'descriptor_ui': 'D060825', 'descriptor_name': 'Cognitive Dysfunction', 'qualifier_ui': 'Q000503', 'qualifier_name': 'physiopathology', 'is_major_topic': True}, {'descriptor_ui': 'D063132', 'descriptor_name': 'Connectome', 'qualifier_ui': 'Q000379', 'qualifier_name': 'methods', 'is_major_topic': True}, {'descriptor_ui': 'D009415', 'descriptor_name': 'Nerve Net', 'qualifier_ui': 'Q000503', 'qualifier_name': 'physiopathology', 'is_major_topic': True}, {'descriptor_ui': 'D000368', 'descriptor_name': 'Aged', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D000369', 'descriptor_name': 'Aged, 80 and over', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D001921', 'descriptor_name': 'Brain', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D060825', 'descriptor_name': 'Cognitive Dysfunction', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D003198', 'descriptor_name': 'Computer Simulation', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D063132', 'descriptor_name': 'Connectome', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D005260', 'descriptor_name': 'Female', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D016015', 'descriptor_name': 'Logistic Models', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008279', 'descriptor_name': 'Magnetic Resonance Imaging', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008279', 'descriptor_name': 'Magnetic Resonance Imaging', 'qualifier_ui': 'Q000379', 'qualifier_name': 'methods', 'is_major_topic': False}, {'descriptor_ui': 'D008297', 'descriptor_name': 'Male', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D009415', 'descriptor_name': 'Nerve Net', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D009434', 'descriptor_name': 'Neural Pathways', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D009434', 'descriptor_name': 'Neural Pathways', 'qualifier_ui': 'Q000503', 'qualifier_name': 'physiopathology', 'is_major_topic': False}, {'descriptor_ui': 'D012044', 'descriptor_name': 'Regression Analysis', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D015203', 'descriptor_name': 'Reproducibility of Results', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D012146', 'descriptor_name': 'Rest', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D012680', 'descriptor_name': 'Sensitivity and Specificity', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tnb.2015.2403274', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S187110076', 'display_name': 'IEEE Transactions on NanoBioscience', 'issn_l': '1536-1241', 'issn': ['1536-1241', '1558-2639'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/25700453', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, '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', 'display_name': 'Reduced inequalities', 'score': 0.75}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 56, 'referenced_works': ['https://openalex.org/W1556373596', 'https://openalex.org/W1700602755', 'https://openalex.org/W1886029756', 'https://openalex.org/W1976755607', 'https://openalex.org/W1984011742', 'https://openalex.org/W1984735205', 'https://openalex.org/W1987157607', 'https://openalex.org/W2004841420', 'https://openalex.org/W2007142489', 'https://openalex.org/W2009494091', 'https://openalex.org/W2010283825', 'https://openalex.org/W2013806427', 'https://openalex.org/W2017533501', 'https://openalex.org/W2025985542', 'https://openalex.org/W2028350189', 'https://openalex.org/W2034735957', 'https://openalex.org/W2037166045', 'https://openalex.org/W2040412343', 'https://openalex.org/W2042557239', 'https://openalex.org/W2048107129', 'https://openalex.org/W2058046532', 'https://openalex.org/W2059143861', 'https://openalex.org/W2060899536', 'https://openalex.org/W2061699647', 'https://openalex.org/W2074870556', 'https://openalex.org/W2079484785', 'https://openalex.org/W2082119527', 'https://openalex.org/W2090494229', 'https://openalex.org/W2097581585', 'https://openalex.org/W2101970362', 'https://openalex.org/W2112436745', 'https://openalex.org/W2113708991', 'https://openalex.org/W2113720166', 'https://openalex.org/W2118585731', 'https://openalex.org/W2119064629', 'https://openalex.org/W2120111102', 'https://openalex.org/W2125670826', 'https://openalex.org/W2130578089', 'https://openalex.org/W2133903921', 'https://openalex.org/W2137730858', 'https://openalex.org/W2138991775', 'https://openalex.org/W2141466480', 'https://openalex.org/W2143285014', 'https://openalex.org/W2150176166', 'https://openalex.org/W2154952480', 'https://openalex.org/W2155164847', 'https://openalex.org/W2157412686', 'https://openalex.org/W2157994299', 'https://openalex.org/W2158757265', 'https://openalex.org/W2160227143', 'https://openalex.org/W2162831735', 'https://openalex.org/W2167056249', 'https://openalex.org/W2167160506', 'https://openalex.org/W2575359420', 'https://openalex.org/W3145152827', 'https://openalex.org/W4233776642'], 'related_works': ['https://openalex.org/W4367836399', 'https://openalex.org/W4321438212', 'https://openalex.org/W357196361', 'https://openalex.org/W3105045045', 'https://openalex.org/W3096637473', 'https://openalex.org/W3092478740', 'https://openalex.org/W3009865305', 'https://openalex.org/W2760997501', 'https://openalex.org/W2339129891', 'https://openalex.org/W2083378472'], 'abstract_inverted_index': {'Mild': [0], 'cognitive': [1], 'impairment': [2], '(MCI)': [3], 'has': [4, 46], 'been': [5, 47], 'considered': [6], 'as': [7], 'a': [8, 59, 76, 114, 138], 'transition': [9], 'phase': [10], 'to': [11, 23, 28, 50, 65, 84, 129, 172, 227], "Alzheimer's": [12], 'disease': [13], '(AD),': [14], 'and': [15, 112, 153, 187, 201, 204], 'the': [16, 80, 96, 100, 125, 131, 145, 150, 155, 174, 188, 205], 'diagnosis': [17], 'of': [18, 55, 99, 116, 177], 'MCI': [19], 'may': [20], 'help': [21], 'patients': [22, 89], 'carry': [24], 'out': [25], 'appropriate': [26], 'treatments': [27], 'delay': [29], 'or': [30], 'even': [31], 'prevent': [32], 'AD.': [33], 'Recent': [34], 'advanced': [35], 'network': [36], 'analysis': [37], 'techniques': [38], 'utilizing': [39], 'resting-state': [40], 'functional': [41, 69, 97], 'Magnetic': [42], 'Resonance': [43], 'Imaging': [44], '(rs-fMRI)': [45], 'widely': [48], 'used': [49], 'get': [51], 'more': [52], 'comprehensive': [53], 'understanding': [54], 'neurological': [56], 'disorders': [57], 'at': [58], 'whole-brain': [60], 'connectivity': [61, 70, 98], 'level.': [62], 'However,': [63], 'how': [64], 'explore': [66], 'effective': [67], 'brain': [68, 102], 'from': [71], 'fMRI': [72], 'data': [73], 'is': [74, 83, 212], 'still': [75], 'challenge': [77], 'especially': [78], 'when': [79], 'ultimate': [81], 'goal': [82], 'train': [85], 'classifiers': [86], 'for': [87, 149], 'discriminating': [88], 'effectively.': [90], 'In': [91], 'our': [92, 178, 197, 210, 222], 'research,': [93], 'we': [94], 'studied': [95], 'whole': [101], 'by': [103, 119], 'calculating': [104], "Pearson's": [105], 'correlation': [106, 126, 134], 'coefficients': [107, 127], 'based': [108, 143], 'on': [109, 124, 144], 'rs-fMRI': [110], 'data,': [111], 'proposed': [113], 'set': [115], 'novel': [117, 147], 'features': [118, 148], 'applying': [120], 'Two': [121], 'Sample': [122], 'T-Test': [123], 'matrix': [128], 'identify': [130], 'most': [132], 'discriminative': [133], 'coefficients.': [135], 'We': [136, 162], 'trained': [137], 'L2-regularized': [139], 'Logistic': [140], 'Regression': [141], 'classifier': [142], 'five': [146], 'first': [151], 'time': [152], 'evaluated': [154], 'classification': [156, 185], 'performance': [157], 'via': [158], 'leave-one-out': [159], 'cross': [160, 166], 'validation.': [161], 'also': [163], 'iterated': [164], '10-fold': [165], 'validation': [167], 'ten': [168], 'times': [169], 'in': [170, 196, 231], 'order': [171], 'evaluate': [173], 'statistical': [175, 206], 'significance': [176], 'method.': [179], 'The': [180], 'experiment': [181], 'result': [182], 'demonstrates': [183], 'that': [184, 209], 'accuracy': [186], 'area': [189], 'under': [190], 'receiver': [191], 'operating': [192], 'characteristic': [193], '(ROC)': [194], 'curve': [195], 'method': [198, 211, 223], 'are': [199], '87.5%': [200], '0.929': [202], 'respectively,': [203], 'results': [207], 'prove': [208], 'statistically': [213], 'significant': [214], 'better': [215], 'than': [216], 'other': [217], 'three': [218], 'algorithms,': [219], 'which': [220], 'means': [221], 'could': [224], 'be': [225], 'meaningful': [226], 'assist': [228], 'physicians': [229], 'efficiently': [230], '"real-world"': [232], 'diagnostic': [233], 'situations.': [234]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2062788471', 'counts_by_year': [{'year': 2024, 'cited_by_count': 4}, {'year': 2023, 'cited_by_count': 5}, {'year': 2022, 'cited_by_count': 8}, {'year': 2021, 'cited_by_count': 13}, {'year': 2020, 'cited_by_count': 9}, {'year': 2019, 'cited_by_count': 9}, {'year': 2018, 'cited_by_count': 9}, {'year': 2017, 'cited_by_count': 4}, {'year': 2016, 'cited_by_count': 6}], 'updated_date': '2024-12-12T08:39:13.643996', 'created_date': '2016-06-24'}