Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2004369799', 'doi': 'https://doi.org/10.1111/j.0022-2720.2004.01338.x', 'title': 'Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections', 'display_name': 'Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections', 'publication_year': 2004, 'publication_date': '2004-06-28', 'ids': {'openalex': 'https://openalex.org/W2004369799', 'doi': 'https://doi.org/10.1111/j.0022-2720.2004.01338.x', 'mag': '2004369799', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/15230877'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1111/j.0022-2720.2004.01338.x', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168975578', 'display_name': 'Journal of Microscopy', 'issn_l': '0022-2720', 'issn': ['0022-2720', '1365-2818'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], '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/A5028372092', 'display_name': 'Carolina Wählby', 'orcid': 'https://orcid.org/0000-0002-4139-7003'}, 'institutions': [{'id': 'https://openalex.org/I123387679', 'display_name': 'Uppsala University', 'ror': 'https://ror.org/048a87296', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I123387679']}, {'id': 'https://openalex.org/I298625061', 'display_name': 'Swedish University of Agricultural Sciences', 'ror': 'https://ror.org/02yy8x990', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I298625061']}], 'countries': ['SE'], 'is_corresponding': False, 'raw_author_name': 'C. WÄHLBY', 'raw_affiliation_strings': ['Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.'], 'affiliations': [{'raw_affiliation_string': 'Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.', 'institution_ids': ['https://openalex.org/I123387679', 'https://openalex.org/I298625061']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5075025484', 'display_name': 'Ida‐Maria Sintorn', 'orcid': 'https://orcid.org/0000-0002-8307-7411'}, 'institutions': [{'id': 'https://openalex.org/I123387679', 'display_name': 'Uppsala University', 'ror': 'https://ror.org/048a87296', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I123387679']}, {'id': 'https://openalex.org/I298625061', 'display_name': 'Swedish University of Agricultural Sciences', 'ror': 'https://ror.org/02yy8x990', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I298625061']}], 'countries': ['SE'], 'is_corresponding': False, 'raw_author_name': 'I.‐M. SINTORN', 'raw_affiliation_strings': ['Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.'], 'affiliations': [{'raw_affiliation_string': 'Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.', 'institution_ids': ['https://openalex.org/I123387679', 'https://openalex.org/I298625061']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5068685482', 'display_name': 'Fredrik Erlandsson', 'orcid': 'https://orcid.org/0000-0002-3176-1078'}, 'institutions': [{'id': 'https://openalex.org/I28166907', 'display_name': 'Karolinska Institutet', 'ror': 'https://ror.org/056d84691', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I28166907']}], 'countries': ['SE'], 'is_corresponding': False, 'raw_author_name': 'F. ERLANDSSON', 'raw_affiliation_strings': ['Department of Oncology–Pathology at the Karolinska Institute, Stockholm, Sweden'], 'affiliations': [{'raw_affiliation_string': 'Department of Oncology–Pathology at the Karolinska Institute, Stockholm, Sweden', 'institution_ids': ['https://openalex.org/I28166907']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5110167329', 'display_name': 'G. Borgefors', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I123387679', 'display_name': 'Uppsala University', 'ror': 'https://ror.org/048a87296', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I123387679']}, {'id': 'https://openalex.org/I298625061', 'display_name': 'Swedish University of Agricultural Sciences', 'ror': 'https://ror.org/02yy8x990', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I298625061']}], 'countries': ['SE'], 'is_corresponding': False, 'raw_author_name': 'G. BORGEFORS', 'raw_affiliation_strings': ['Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.'], 'affiliations': [{'raw_affiliation_string': 'Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.', 'institution_ids': ['https://openalex.org/I123387679', 'https://openalex.org/I298625061']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5079447321', 'display_name': 'Ewert Bengtsson', 'orcid': 'https://orcid.org/0000-0002-1636-3469'}, 'institutions': [{'id': 'https://openalex.org/I123387679', 'display_name': 'Uppsala University', 'ror': 'https://ror.org/048a87296', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I123387679']}, {'id': 'https://openalex.org/I298625061', 'display_name': 'Swedish University of Agricultural Sciences', 'ror': 'https://ror.org/02yy8x990', 'country_code': 'SE', 'type': 'education', 'lineage': ['https://openalex.org/I298625061']}], 'countries': ['SE'], 'is_corresponding': False, 'raw_author_name': 'E. BENGTSSON', 'raw_affiliation_strings': ['Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.'], 'affiliations': [{'raw_affiliation_string': 'Centre for Image Analysis, Uppsala University and Swedish University of Agricultural Sciences, Uppsala, Sweden.', 'institution_ids': ['https://openalex.org/I123387679', 'https://openalex.org/I298625061']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 4530, 'currency': 'USD', 'value_usd': 4530, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 10.333, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 347, 'citation_normalized_percentile': {'value': 0.999879, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 98, 'max': 99}, 'biblio': {'volume': '215', 'issue': '1', 'first_page': '67', 'last_page': '76'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10052', 'display_name': 'Medical Image Segmentation Techniques', 'score': 0.9993, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, '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/T10052', 'display_name': 'Medical Image Segmentation Techniques', 'score': 0.9993, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, '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/T12859', 'display_name': 'Cell Image Analysis Techniques', 'score': 0.9977, 'subfield': {'id': 'https://openalex.org/subfields/1304', 'display_name': 'Biophysics'}, 'field': {'id': 'https://openalex.org/fields/13', 'display_name': 'Biochemistry, Genetics and Molecular Biology'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, {'id': 'https://openalex.org/T10862', 'display_name': 'AI in cancer detection', 'score': 0.9941, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, '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/range-segmentation', 'display_name': 'Range segmentation', 'score': 0.6415204}, {'id': 'https://openalex.org/keywords/morphological-gradient', 'display_name': 'Morphological gradient', 'score': 0.6288206}, {'id': 'https://openalex.org/keywords/segmentation-based-object-categorization', 'display_name': 'Segmentation-based object categorization', 'score': 0.6101053}, {'id': 'https://openalex.org/keywords/region-growing', 'display_name': 'Region growing', 'score': 0.5284916}], 'concepts': [{'id': 'https://openalex.org/C89600930', 'wikidata': 'https://www.wikidata.org/wiki/Q1423946', 'display_name': 'Segmentation', 'level': 2, 'score': 0.7901876}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.7546608}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.7013586}, {'id': 'https://openalex.org/C67561299', 'wikidata': 'https://www.wikidata.org/wiki/Q7292710', 'display_name': 'Range segmentation', 'level': 5, 'score': 0.6415204}, {'id': 'https://openalex.org/C65885262', 'wikidata': 'https://www.wikidata.org/wiki/Q7429708', 'display_name': 'Scale-space segmentation', 'level': 4, 'score': 0.633243}, {'id': 'https://openalex.org/C96133863', 'wikidata': 'https://www.wikidata.org/wiki/Q6913458', 'display_name': 'Morphological gradient', 'level': 5, 'score': 0.6288206}, {'id': 'https://openalex.org/C25694479', 'wikidata': 'https://www.wikidata.org/wiki/Q7446278', 'display_name': 'Segmentation-based object categorization', 'level': 5, 'score': 0.6101053}, {'id': 'https://openalex.org/C160633673', 'wikidata': 'https://www.wikidata.org/wiki/Q355198', 'display_name': 'Pixel', 'level': 2, 'score': 0.5853572}, {'id': 'https://openalex.org/C124504099', 'wikidata': 'https://www.wikidata.org/wiki/Q56933', 'display_name': 'Image segmentation', 'level': 3, 'score': 0.58487654}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.57613885}, {'id': 'https://openalex.org/C62354387', 'wikidata': 'https://www.wikidata.org/wiki/Q875399', 'display_name': 'Boundary (topology)', 'level': 2, 'score': 0.559113}, {'id': 'https://openalex.org/C206824153', 'wikidata': 'https://www.wikidata.org/wiki/Q1169834', 'display_name': 'Region growing', 'level': 5, 'score': 0.5284916}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.47896913}, {'id': 'https://openalex.org/C2781238097', 'wikidata': 'https://www.wikidata.org/wiki/Q175026', 'display_name': 'Object (grammar)', 'level': 2, 'score': 0.44298828}, {'id': 'https://openalex.org/C36248471', 'wikidata': 'https://www.wikidata.org/wiki/Q7445669', 'display_name': 'Seeding', 'level': 2, 'score': 0.4382376}, {'id': 'https://openalex.org/C2776502983', 'wikidata': 'https://www.wikidata.org/wiki/Q690182', 'display_name': 'Contrast (vision)', 'level': 2, 'score': 0.42140695}, {'id': 'https://openalex.org/C162307627', 'wikidata': 'https://www.wikidata.org/wiki/Q204833', 'display_name': 'Enhanced Data Rates for GSM Evolution', 'level': 2, 'score': 0.41457292}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.30921254}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.15586507}, {'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/C97355855', 'wikidata': 'https://www.wikidata.org/wiki/Q11473', 'display_name': 'Thermodynamics', 'level': 1, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D002467', 'descriptor_name': 'Cell Nucleus', 'qualifier_ui': 'Q000648', 'qualifier_name': 'ultrastructure', 'is_major_topic': True}, {'descriptor_ui': 'D007091', 'descriptor_name': 'Image Processing, Computer-Assisted', 'qualifier_ui': 'Q000379', 'qualifier_name': 'methods', 'is_major_topic': True}, {'descriptor_ui': 'D002583', 'descriptor_name': 'Uterine Cervical Neoplasms', 'qualifier_ui': 'Q000473', 'qualifier_name': 'pathology', 'is_major_topic': True}, {'descriptor_ui': 'D001331', 'descriptor_name': 'Automation', 'qualifier_ui': 'Q000379', 'qualifier_name': 'methods', 'is_major_topic': False}, {'descriptor_ui': 'D001331', 'descriptor_name': 'Automation', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D002467', 'descriptor_name': 'Cell Nucleus', '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': 'D007091', 'descriptor_name': 'Image Processing, Computer-Assisted', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008856', 'descriptor_name': 'Microscopy, Fluorescence', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008856', 'descriptor_name': 'Microscopy, Fluorescence', 'qualifier_ui': 'Q000379', 'qualifier_name': 'methods', 'is_major_topic': False}, {'descriptor_ui': 'D012680', 'descriptor_name': 'Sensitivity and Specificity', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D002583', 'descriptor_name': 'Uterine Cervical Neoplasms', 'qualifier_ui': 'Q000648', 'qualifier_name': 'ultrastructure', 'is_major_topic': False}, {'descriptor_ui': 'D002583', 'descriptor_name': 'Uterine Cervical Neoplasms', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1111/j.0022-2720.2004.01338.x', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168975578', 'display_name': 'Journal of Microscopy', 'issn_l': '0022-2720', 'issn': ['0022-2720', '1365-2818'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], '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/15230877', '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': [{'display_name': 'Life on land', 'score': 0.62, 'id': 'https://metadata.un.org/sdg/15'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 34, 'referenced_works': ['https://openalex.org/W1524568302', 'https://openalex.org/W1530090448', 'https://openalex.org/W1561442812', 'https://openalex.org/W1575873451', 'https://openalex.org/W1585431621', 'https://openalex.org/W1602634882', 'https://openalex.org/W1970800786', 'https://openalex.org/W1979620603', 'https://openalex.org/W1986584741', 'https://openalex.org/W1991955856', 'https://openalex.org/W1993670446', 'https://openalex.org/W2009322221', 'https://openalex.org/W2010308130', 'https://openalex.org/W2039490988', 'https://openalex.org/W2039585333', 'https://openalex.org/W2054821087', 'https://openalex.org/W2069537876', 'https://openalex.org/W2075280003', 'https://openalex.org/W2077181969', 'https://openalex.org/W2092820391', 'https://openalex.org/W2096579040', 'https://openalex.org/W2119743834', 'https://openalex.org/W2124260943', 'https://openalex.org/W2128356031', 'https://openalex.org/W2128379395', 'https://openalex.org/W2142082953', 'https://openalex.org/W214577476', 'https://openalex.org/W2157840858', 'https://openalex.org/W2505399031', 'https://openalex.org/W2601530120', 'https://openalex.org/W2603283561', 'https://openalex.org/W2725845700', 'https://openalex.org/W3013741643', 'https://openalex.org/W4251431888'], 'related_works': ['https://openalex.org/W326224813', 'https://openalex.org/W3196005494', 'https://openalex.org/W3152412130', 'https://openalex.org/W3144569342', 'https://openalex.org/W2785294226', 'https://openalex.org/W2553765490', 'https://openalex.org/W2551987074', 'https://openalex.org/W2394279717', 'https://openalex.org/W2372421320', 'https://openalex.org/W2150504945'], 'abstract_inverted_index': {'We': [0], 'present': [1], 'a': [2, 56, 80, 93, 139, 174, 182], 'region-based': [3], 'segmentation': [4, 43, 85, 109, 162, 210], 'method': [5], 'in': [6, 55, 68, 79], 'which': [7], 'seeds': [8, 34], 'representing': [9], 'both': [10, 22], 'object': [11], 'and': [12, 26, 177], 'background': [13], 'pixels': [14], 'are': [15, 35, 145], 'created': [16, 96, 187], 'by': [17, 113, 197], 'combining': [18], 'morphological': [19], 'filtering': [20], 'of': [21, 30, 44, 106, 143, 151, 156, 185], 'the': [23, 27, 31, 45, 83, 104, 107, 117, 121, 149, 152, 160, 203], 'original': [24], 'image': [25, 176, 205], 'gradient': [28, 46, 118], 'magnitude': [29, 47, 119], 'image.': [32, 48], 'The': [33, 49, 154], 'then': [36], 'used': [37, 180], 'as': [38, 215, 217], 'starting': [39], 'points': [40], 'for': [41, 213], 'watershed': [42, 84], 'fully': [50], 'automatic': [51], 'seeding': [52], 'is': [53, 77, 95, 99, 110, 164], 'done': [54], 'generous': [57], 'fashion,': [58], 'so': [59], 'that': [60], 'at': [61], 'least': [62], 'one': [63, 75], 'seed': [64, 76], 'will': [65, 86], 'be': [66, 170, 179], 'set': [67, 171], 'each': [69], 'foreground': [70], 'object.': [71], 'If': [72], 'more': [73], 'than': [74], 'placed': [78], 'single': [81], 'object,': [82], 'lead': [87], 'to': [88, 132, 159], 'an': [89], 'initial': [90, 108], 'over-segmentation,': [91], 'i.e.': [92], 'boundary': [94, 122], 'where': [97], 'there': [98], 'no': [100], 'strong': [101], 'edge.': [102], 'Thus,': [103], 'result': [105], 'further': [111], 'refined': [112], 'merging': [114], 'based': [115, 147], 'on': [116, 148, 181], 'along': [120], 'separating': [123], 'neighbouring': [124], 'objects.': [125], 'This': [126, 192], 'step': [127], 'also': [128], 'makes': [129], 'it': [130], 'easy': [131], 'remove': [133], 'objects': [134], 'with': [135, 199], 'poor': [136], 'contrast.': [137], 'As': [138], 'final': [140], 'step,': [141], 'clusters': [142], 'nuclei': [144], 'separated,': [146], 'shape': [150], 'cluster.': [153], 'number': [155, 184], 'input': [157], 'parameters': [158, 168], 'full': [161], 'procedure': [163], 'only': [165], 'five.': [166], 'These': [167], 'can': [169], 'manually': [172], 'using': [173], 'test': [175], 'thereafter': [178], 'large': [183], 'images': [186], 'under': [188], 'similar': [189], 'imaging': [190], 'conditions.': [191], 'automated': [193], 'system': [194], 'was': [195, 211], 'verified': [196], 'comparison': [198], 'manual': [200], 'counts': [201], 'from': [202], 'same': [204], 'fields.': [206], 'About': [207], '90%': [208], 'correct': [209], 'achieved': [212], 'two-': [214], 'well': [216], 'three-dimensional': [218], 'images.': [219]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2004369799', 'counts_by_year': [{'year': 2024, 'cited_by_count': 10}, {'year': 2023, 'cited_by_count': 14}, {'year': 2022, 'cited_by_count': 22}, {'year': 2021, 'cited_by_count': 19}, {'year': 2020, 'cited_by_count': 18}, {'year': 2019, 'cited_by_count': 18}, {'year': 2018, 'cited_by_count': 23}, {'year': 2017, 'cited_by_count': 25}, {'year': 2016, 'cited_by_count': 20}, {'year': 2015, 'cited_by_count': 22}, {'year': 2014, 'cited_by_count': 16}, {'year': 2013, 'cited_by_count': 18}, {'year': 2012, 'cited_by_count': 18}], 'updated_date': '2024-12-14T04:58:23.794691', 'created_date': '2016-06-24'}