Papers of possible interest- SIG-Metrics (3)
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Fri May 30 20:49:42 EDT 2014
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Title: Recent advances in bibliometric indexes and the PaperRank problem
Authors: Amodio, P; Brugnano, L
Author Full Names: Amodio, Pierluigi; Brugnano, Luigi
Source: JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 267 182-194; 10.1016/j.cam.2014.02.018<http://dx.doi.org/10.1016/j.cam.2014.02.018> SEP 2014
Language: English
Document Type: Article
Author Keywords: Bibliometric indexes, PageRank, Citations, H-index, Normalized citations
KeyWords Plus: PAGERANK ALGORITHM; CITATION NETWORKS; RANKING AUTHORS
Abstract: Bibliometric indexes are customary used in evaluating the impact of scientific research, even though it is very well known that in different research areas they may range in very different intervals. Sometimes, this is evident even within a single given field of investigation making very difficult (and inaccurate) the assessment of scientific papers. On the other hand, the problem can be recast in the same framework which has allowed to efficiently cope with the ordering of web-pages, i.e., to formulate the PageRank of Google. For this reason, we call such a problem the PaperRank problem, here solved by using a similar approach to that employed by PageRank. The obtained solution, which is mathematically grounded, will be used to compare the usual heuristics of the number of citations with a new one here proposed. Some numerical tests show that the new heuristics is much more reliable than the currently used ones, based on the bare number of citations. Moreover, we show that our model improves on recently proposed ones (Bini (2010)). We also show that, once the PaperRank problem is correctly solved, one obtains, as a by-product, the ranking of both authors and journals. (C) 2014 Elsevier B.V. All rights reserved.
Addresses: [Amodio, Pierluigi] Univ Bari, Dipartimento Matemat, I-70121 Bari, Italy.
[Brugnano, Luigi] Univ Florence, Dipartimento Matemat & Informat U Dini, I-50121 Florence, Italy.
E-mail Addresses: pierluigi.amodio at uniba.it; luigi.brugnano at unifi.it
Cited Reference Count: 29
Times Cited: 0
Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN: 0377-0427
Web of Science Categories: Mathematics, Applied; MATHEMATICS, APPLIED
Research Areas: Mathematics
IDS Number: AG0JW
Unique ID: WOS:000335102800013
Cited References:
Nallapati R.M., 2008, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P542
El-Arini K., 2011, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P439
Ma Nan, 2008, INFORMATION PROCESSING & MANAGEMENT, V44, P800
Wang C., 2011, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P448
Brin S, 1998, COMPUTER NETWORKS AND ISDN SYSTEMS7th International World Wide Web Conference, APR 14-18, 1998, BRISBANE, AUSTRALIA, V30, P107
Ding Ying, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2229
Zhang Y., 2012, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P606
Lancaster P., 1985, The Theory of Matrices,
Cicone Antonio, 2010, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, V234, P3140
Chen P., 2007, JOURNAL OF INFORMETRICS, V1, P8
Wu Xindong, 2008, KNOWLEDGE AND INFORMATION SYSTEMS, V14, P1
Maslov Sergei, 2008, JOURNAL OF NEUROSCIENCE, V28, P11103
Bergstrom C., 2007, College & Research Libraries News, V68, P314
Yin Jun-Feng, 2012, NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, V19, P73
Golub G. H., 2006, BIT NUMERICAL MATHEMATICS, V46, P759
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Niu X., 2012, Proceedings-IEEE International Conference on Data Mining, JCDM, P1182
Ito T., 2005, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P586
Yang Tianbao, 2009, KDD-09: 15TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, JUN 28-JUL 01, 2009, Paris, FRANCE, P927
Bini Dario A., 2010, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, V234, P3104
Page L., 1999, Technical Report,
Duan Dongsheng, 2012, 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2012)12th IEEE International Conference on Data Mining (ICDM), DEC 10-13, 2012, Brussels, BELGIUM, P211
Bini Dario A., 2008, ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSISConference on Matrix Analysis and Applications held Honor of Gerard Meurant, OCT15, 2007, Luminy, FRANCE, V33, P1
Bollen Johan, 2009, PLOS ONE, V4,
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Title: American College of Obstetricians and Gynecologists Practice Bulletins: Ascertaining Their Citation, Influence, and Utilization
Authors: Bernhard, KA; Siddiqui, DS; Leonard, KM; Chauhan, SP
Author Full Names: Bernhard, Kiley A.; Siddiqui, Danish S.; Leonard, Kinsey M.; Chauhan, Suneet P.
Source: AMERICAN JOURNAL OF PERINATOLOGY, 31 (5):373-381; 10.1055/s-0033-1349895<http://dx.doi.org/10.1055/s-0033-1349895> MAY 2014
Language: English
Document Type: Article
Author Keywords: search tools, citation, practice bulletins, ACOG, databases
KeyWords Plus: ARTICLES
Abstract: Objective To ascertain the influence and utilization of the American College Obstetricians and Gynecologists practice bulletins (PBs) by measuring their citations in three different search tools. Study Design PBs in obstetrics (OB-PBs) and gynecology (GYN-PBs) published from September 1998 to December 2009 were identified. PubMed, Ovid MEDLINE, and Web of Science were utilized to determine how often PBs were cited. The citations were quantified by three parameters, most citations, highest citation rate, and highest impact factor. Results The OB-PB with the most citations (125) was PB no. 33 (Diagnosis and Management of Preeclampsia and Eclampsia), highest citation rate (44) was PB no. 101 (Ultrasonography in Pregnancy), highest OBGYN impact factor (4.39) was PB no. 71 (Episiotomy), and highest non-OBGYN impact factor (53.49) was PB no. 38 (Perinatal Care at Threshold of Viability). The GYN-PB with the highest citation rate (103) was PB no. 109 (Cervical Cytology Screening), highest OBGYN impact factor (3.85) was PB no. 103 (Hereditary Breast and Ovarian Cancer Syndrome), and highest non-OBGYN impact factor (20.89) was PB no. 35 (Cervical Carcinoma). Conclusions No one PB had the most citations, highest citation rate, and highest impact factor.
Addresses: [Bernhard, Kiley A.] Ctr Urban Populat Hlth, Milwaukee, WI USA.
[Bernhard, Kiley A.] Aurora Hlth Care Inc, Milwaukee, WI USA.
[Siddiqui, Danish S.] Univ Wisconsin, Sch Med & Publ Hlth, Aurora Univ Wisconsin Med Grp, Dept Obstet & Gynecol, Milwaukee, WI 53201 USA.
[Leonard, Kinsey M.] Lake Erie Coll Osteopath Med, Greensburg, PA USA.
[Chauhan, Suneet P.] Eastern Virginia Med Sch, Dept Maternal Fetal Med, Norfolk, VA 23501 USA.
E-mail Addresses: kiley.bernhard at aurora.org
Cited Reference Count: 9
Times Cited: 0
Publisher: THIEME MEDICAL PUBL INC, 333 SEVENTH AVE, NEW YORK, NY 10001 USA
ISSN: 0735-1631
Web of Science Categories: Obstetrics & Gynecology; Pediatrics; OBSTETRICS & GYNECOLOGY; PEDIATRICS
Research Areas: Obstetrics & Gynecology; Pediatrics
IDS Number: AF8ZF
Unique ID: WOS:000335003800003
Cited References:
Brandt JS, 2010, Am J Obstet Gynecol, V203, Pe1
Rieder Simon, 2010, LANGENBECKS ARCHIVES OF SURGERY, V395, PS57
American College of Obstetricians and Gynecologists, 2012,
Filion Kristian B, 2008, Epidemiologic perspectives & innovations : EP+I, V5, P3
Chauhan SP, 2006, AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY72nd Annual Meeting of the Central-Association-of-Obstetricians-and-Gynecologists, OCT 19-22, 2005, Scottsdale, AZ, V194, P1564
Kulkarni Abhaya V., 2009, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V302, P1092
Bakkalbasi Nisa, 2006, Biomedical digital libraries, V3, P7
Chauhan SP, 2006, Am J Obstet Gynecol, V194, P1072
Hou Wen-Ru, 2011, BIOESSAYS, V33, P724
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Title: Bibliometric analysis of scientific publications on waterpipe (narghile, shisha, hookah) tobacco smoking during the period 2003-2012
Authors: Zyoud, SH; Al-Jabi, SW; Sweileh, WM
Author Full Names: Zyoud, Sa'ed H.; Al-Jabi, Samah W.; Sweileh, Waleed M.
Source: TOBACCO INDUCED DISEASES, 12 10.1186/1617-9625-12-7<http://dx.doi.org/10.1186/1617-9625-12-7> APR 13 2014
Language: English
Document Type: Article
Author Keywords: Bibliometric, Waterpipe tobacco smoking, Narghile, Shisha, Hookah, Scopus
KeyWords Plus: RESEARCH PRODUCTIVITY; GLOBAL EPIDEMIC; GOOGLE-SCHOLAR; SCIENCE; SCOPUS; WEB
Abstract: Background: Waterpipe tobacco smoking has spread worldwide. However, the evaluation of scientific output in the field of waterpipe tobacco smoking has not been studied yet. The main objectives of this study were to analyze worldwide research output in the waterpipe tobacco smoking field, and to examine the authorship pattern and the citations retrieved from the Scopus database for over a decade. Methods: Data from January 1, 2003 through December 31, 2012 were searched for documents with specific words regarding waterpipe tobacco smoking as "keywords" in the title. Scientific output was evaluated based on a methodology developed and used in other bibliometric studies: (a) total and trends of contributions in waterpipe tobacco smoking research between 2003 and 2012; (b) authorship patterns and research productivity; (c) collaboration patterns; (d) the citations received by the publications; and (e) areas of interest of the published papers. Results: Worldwide there were 334 publications that met the criteria during the study period. The largest number of publications in waterpipe tobacco smoking were from the United States of America (USA) (33.5%), followed by Lebanon (15.3%), and France (10.5%). The total number of citations at the time of data analysis (October 18, 2013) was 4,352, with an average of 13 citations per document and a median (interquartile range) of 4.0 (1.0-16.0). The h-index of the retrieved documents was 34. The highest h-index by country was 27 for the USA, followed by 20 for Syrian Arab Republic and Lebanon. Conclusions: The present data reveal a promising rise and a good start for research activity in the field of waterpipe tobacco smoking. More effort is needed to bridge the gap in waterpipe smoking-based research and to promote better evaluation of waterpipe smoking, risks, health effects, or control services worldwide.
Addresses: [Zyoud, Sa'ed H.] An Najah Natl Univ, Coll Med & Hlth Sci, Poison Control & Drug Informat Ctr PCDIC, Nablus, Israel.
[Zyoud, Sa'ed H.; Sweileh, Waleed M.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Pharmacol & Toxicol, Nablus, Israel.
[Zyoud, Sa'ed H.] Univ Sains Malaysia, WHO Collaborating Ctr Drug Informat, Natl Poison Ctr, George Town, Malaysia.
[Al-Jabi, Samah W.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Clin & Community Pharm, Nablus, Israel.
E-mail Addresses: saedzyoud at yahoo.com
Cited Reference Count: 38
Times Cited: 0
Publisher: BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND
ISSN: 1617-9625
Article Number: 7
Web of Science Categories: Substance Abuse; Public, Environmental & Occupational Health
Research Areas: Substance Abuse; Public, Environmental & Occupational Health
IDS Number: AF4YF
Unique ID: WOS:000334719800001
Cited References:
World Health Organization (WHO), 2005, Waterpipe tobacco smoking: health effects, research needs and recommended actions by regulators,
Tan Jiang, 2014, SCIENTOMETRICS, V98, P1473
Kira Anette, 2011, NICOTINE & TOBACCO RESEARCH, V13, P474
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De Battisti Francesca, 2013, STATISTICAL METHODS AND APPLICATIONS, V22, P269
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Nakkash Rima, 2014, LANCET, V383, P392
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World Health Organization, 2011, WHO report on the global tobacco epidemic, 2011: warning about the dangers of tobacco,
Zyoud SH, 2014, SAGE Open Med, V2,
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Title: Bibliometrics Contribution to the Metatheoretical and Domain Analysis Studies
Authors: Castanha, RCG; Gracio, MCC
Author Full Names: Gutierres Castanha, Renata Cristina; Cabrini Gracio, Maria Claudia
Source: KNOWLEDGE ORGANIZATION, 41 (2):171-174; 2014
Language: English
Document Type: Article
Author Keywords: knowledge, theory, domain analysis, information science, metatheory
KeyWords Plus: INFORMATION-SCIENCE
Abstract: Along with the growth of scientific production, the bibliometric studies have become essential, providing relevant information about any domain while identifying, highlighting and viewing the scientific knowledge constructed within a theme, subject or knowledge area. This article approaches the bibliometric studies under the light of metatheory and domain analysis within the knowledge organization in information science. domain analysis and metatheory are considered significant contribution to bibliometric studies when emphasizing the need for epistemological, sociological and historical analyzes, as well as other qualitative approaches, encouraging researchers to reflect on the whole composition of the research object, by means of different methodological, theoretical and epistemological approaches. This study aims at contributing to the discourse of the theoretical aspects of bibliometric studies by presenting considerations concerning Hjorland's domain analysis, as well as Ritzer's metatheoretical approach, featuring discussions on major theories of a study field, since these approaches together provide a more complete qualitative view upon an area, here, represented by the bibliometric studies.
Addresses: [Gutierres Castanha, Renata Cristina; Cabrini Gracio, Maria Claudia] UNESP Univ Estadual Paulista, BR-17525900 Marilia, SP, Brazil.
E-mail Addresses: regutierres at gmail.com; cabrini at marilia.unesp.br
Cited Reference Count: 14
Times Cited: 0
Publisher: ERGON-VERLAG, GROMBUHLSTR 7, 97080 WURZBURG, GERMANY
ISSN: 0943-7444
Web of Science Categories: Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE
Research Areas: Information Science & Library Science
IDS Number: AF7OJ
Unique ID: WOS:000334904100007
Cited References:
Hjorland B, 1998, JOURNAL OF DOCUMENTATION, V54, P606
Ritzer George, 1991, Metatheorking in sociology,
Gracio Maria Claudia Cabrini, 2012, XIII ENANCIB - Encontro National de Pesquisa em Ciencia da Informaido, P1
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Kuhn Thomas S., 1970, The structure of scientific revolutions,
Guimaraes Jose Augusto Chaves, 2000, Encuentro de EDIBCIC, 5., Granada. La formation de profesionales e investigadores de lainfbrmacion para lasociedad- delconocimiento: Actas, P206
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Title: Bibliometric Knowledge Organization: A Domain Analytic Method Using Artificial Neural Networks
Authors: Meireles, MRG; Cendon, BV; de Almeida, PEM
Author Full Names: Gouvea Meireles, Magali Rezende; Cendon, Beatriz Valadares; Maciel de Almeida, Paulo Eduardo
Source: KNOWLEDGE ORGANIZATION, 41 (2):145-159; 2014
Language: English
Document Type: Article
Author Keywords: articles, documents, categorization, references, network
KeyWords Plus: INFORMATION-SCIENCE; RESEARCH QUESTIONS; CLASSIFICATION; CATEGORIZATION; SOM; COCITATION; DOCUMENTS
Abstract: The organization of large collections of documents has become more important with the increase in the amount of digital information available. In certain constricted domains of knowledge, keywords and subject descriptors tend to be similar and therefore insufficient to differentiate documents. In this context, instead of relying only on the presence of common terms, the identification of common cited references can be useful to define semantic relationship among documents. The purpose of this work is to add another instance on the research linking information retrieval and bibliometric techniques aided by information technology. A domain analytic method was developed to generate clusters of documents, which uses self-organizing maps, in the scope of artificial neural networks, to categorize documents. The results obtained show that this approach successfully identified clusters of authors and documents through their cited references. In addition, further qualitative analysis of these clusters demonstrates the existence of semantic relationships between the documents. This study can contribute to the development of the field of knowledge organization by evaluating the use of artificial neural networks in the automatic categorization of documents in a constricted knowledge domain based on the analysis of the references cited by these documents.
Addresses: [Gouvea Meireles, Magali Rezende] Pontificia Univ Catolica Minas Gerais, Inst Math Sci & Informat, BR-30535901 Belo Horizonte, MG, Brazil.
[Cendon, Beatriz Valadares] Univ Fed Minas Gerais, Sch Informat Sci, BR-31270901 Belo Horizonte, MG, Brazil.
[Maciel de Almeida, Paulo Eduardo] Fed Ctr Technol Educ Minas Gerais, Dept Comp, BR-30510000 Belo Horizonte, MG, Brazil.
E-mail Addresses: magali at pucminas.br; cendon at eci.ufmg.br; pema at lsi.cefetmg.br
Cited Reference Count: 35
Times Cited: 0
Publisher: ERGON-VERLAG, GROMBUHLSTR 7, 97080 WURZBURG, GERMANY
ISSN: 0943-7444
Web of Science Categories: Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE
Research Areas: Information Science & Library Science
IDS Number: AF7OJ
Unique ID: WOS:000334904100005
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Title:
Bibliometrics Contribution to the Metatheoretical and Domain Analysis Studies
Authors:
Castanha, RCG; Gracio, MCC
Author Full Names:
Gutierres Castanha, Renata Cristina; Cabrini Gracio, Maria Claudia
Source:
KNOWLEDGE ORGANIZATION, 41 (2):171-174; 2014
Language:
English
Document Type:
Article
Author Keywords:
knowledge, theory, domain analysis, information science, metatheory
KeyWords Plus:
INFORMATION-SCIENCE
Abstract:
Along with the growth of scientific production, the bibliometric studies
have become essential, providing relevant information about any domain
while identifying, highlighting and viewing the scientific knowledge
constructed within a theme, subject or knowledge area. This article
approaches the bibliometric studies under the light of metatheory and
domain analysis within the knowledge organization in information
science. domain analysis and metatheory are considered significant
contribution to bibliometric studies when emphasizing the need for
epistemological, sociological and historical analyzes, as well as other
qualitative approaches, encouraging researchers to reflect on the whole
composition of the research object, by means of different
methodological, theoretical and epistemological approaches. This study
aims at contributing to the discourse of the theoretical aspects of
bibliometric studies by presenting considerations concerning Hjorland's
domain analysis, as well as Ritzer's metatheoretical approach, featuring
discussions on major theories of a study field, since these approaches
together provide a more complete qualitative view upon an area, here,
represented by the bibliometric studies.
Addresses:
[Gutierres Castanha, Renata Cristina; Cabrini Gracio, Maria Claudia] UNESP Univ Estadual Paulista, BR-17525900 Marilia, SP, Brazil.
E-mail Addresses:
regutierres at gmail.com; cabrini at marilia.unesp.br
Cited Reference Count:
14
Times Cited:
0
Publisher:
ERGON-VERLAG, GROMBUHLSTR 7, 97080 WURZBURG, GERMANY
ISSN:
0943-7444
Web of Science Categories:
Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE
Research Areas:
Information Science & Library Science
IDS Number:
AF7OJ
Unique ID:
WOS:000334904100007
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Title:
Bibliometric Knowledge Organization: A Domain Analytic Method Using Artificial Neural Networks
Authors:
Meireles, MRG; Cendon, BV; de Almeida, PEM
Author Full Names:
Gouvea Meireles, Magali Rezende; Cendon, Beatriz Valadares; Maciel de
Almeida, Paulo Eduardo
Source:
KNOWLEDGE ORGANIZATION, 41 (2):145-159; 2014
Language:
English
Document Type:
Article
Author Keywords:
articles, documents, categorization, references, network
KeyWords Plus:
INFORMATION-SCIENCE; RESEARCH QUESTIONS; CLASSIFICATION; CATEGORIZATION; SOM; COCITATION; DOCUMENTS
Abstract:
The organization of large collections of documents has become more
important with the increase in the amount of digital information
available. In certain constricted domains of knowledge, keywords and
subject descriptors tend to be similar and therefore insufficient to
differentiate documents. In this context, instead of relying only on the
presence of common terms, the identification of common cited references
can be useful to define semantic relationship among documents. The
purpose of this work is to add another instance on the research linking
information retrieval and bibliometric techniques aided by information
technology. A domain analytic method was developed to generate clusters
of documents, which uses self-organizing maps, in the scope of
artificial neural networks, to categorize documents. The results
obtained show that this approach successfully identified clusters of
authors and documents through their cited references. In addition,
further qualitative analysis of these clusters demonstrates the
existence of semantic relationships between the documents. This study
can contribute to the development of the field of knowledge organization
by evaluating the use of artificial neural networks in the automatic
categorization of documents in a constricted knowledge domain based on
the analysis of the references cited by these documents.
Addresses:
[Gouvea Meireles, Magali Rezende] Pontificia Univ Catolica Minas Gerais, Inst Math Sci & Informat, BR-30535901 Belo Horizonte, MG, Brazil.
[Cendon, Beatriz Valadares] Univ Fed Minas Gerais, Sch Informat Sci, BR-31270901 Belo Horizonte, MG, Brazil.
[Maciel de Almeida, Paulo Eduardo] Fed Ctr Technol Educ Minas Gerais, Dept Comp, BR-30510000 Belo Horizonte, MG, Brazil.
E-mail Addresses:
magali at pucminas.br; cendon at eci.ufmg.br; pema at lsi.cefetmg.br
Cited Reference Count:
35
Times Cited:
0
Publisher:
ERGON-VERLAG, GROMBUHLSTR 7, 97080 WURZBURG, GERMANY
ISSN:
0943-7444
Web of Science Categories:
Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE
Research Areas:
Information Science & Library Science
IDS Number:
AF7OJ
Unique ID:
WOS:000334904100005
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