year 14, Issue 3 (May-Jun 2020)                   Iran J Med Microbiol 2020, 14(3): 252-269 | Back to browse issues page

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Danesh F, Ghavidel S, Emami M. Acinetobacter baumannii: Researchers' Scientific Cooperation Network in Three Decades. Iran J Med Microbiol. 2020; 14 (3) :252-269
1- Information Management Research Department, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran ,
2- Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
Abstract:   (2342 Views)

Background and Objective: Acinetobacter baumannii is one of the most common challenging pathogens in causing serious infections in intensive care units of modern hospital systems around the world and poses a serious threat to public and patient health. This study aims to analyze the network of scientific and empirical collaborations of A. baumanniii researchers in the last three decades.
Methods: The present study was performed using the Co-citation analysis technique. All A. baumannii publications indexed in the Web of Science Core Collection for the period 1990-2019 are the statistical population of the study. After an advanced search, 4473 documents were retrieved. A total of 18343 authors contributed to the publication of the retrieved documents. Ravar PreMap, NetDraw, and UCINET 6.528.0.0 software were utilized for data analysis.
Results: Data analysis showed that the global publication of A. baumannii has risen. "Clinical Infectious Diseases," was the best journal, and "Seifert, Harald," the most influential researcher, and "Seifert, Harald * Higgins, Paul G," were identified as the best co-citation pair. Top researchers in A. baumannii were "Beceiro," "Alejandro," "HSU Li Yang," and "Seifert, Harald," respectively, based on degree, betweenness and closeness centrality indicators.
Conclusions: Analysis of social networks A. baumanniii presents an objective and realistic view to experts and planners. Also, the structure of A. baumannii's internal relationships and researchers' connections is determined objectively. Finally, researchers get acquainted with journals, scientists and organizations that are proliferated and effective and plan to collaborate with them in the future

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Type of Study: Original | Subject: Medical Bacteriology
Received: 2020/03/14 | Accepted: 2020/05/28 | ePublished: 2020/06/18

1. Saleh, NM, Hesham MS, Amin MA, Samir Mohamed R. Acquisition of Colistin Resistance Links Cell Membrane Thickness Alteration with a Point Mutation in the lpxD Gene in Acinetobacter baumannii. Antibiotics, 2020; 9, 164. [DOI:10.3390/antibiotics9040164] [PMID] [PMCID]
2. Nurtop E, Baylndlr Bilman F, Menekse S, Kurt Azap O, Gonen M, Ergonul O, Can F. Promoters of Colistin Resistance in Acinetobacter baumannii Infections. Microbial Drug Resistance, 2019; 25(7): 997-1002. [DOI:10.1089/mdr.2018.0396] [PMID]
3. Lee C-R, Lee JH, Park M, Park KS, Bae IK, Kim YB, Cha C-J, Jeong BC and Lee SH Biology of Acinetobacter baumannii: Pathogenesis, Antibiotic Resistance Mechanisms, and Prospective Treatment Options. Front. Cell. Infect. Microbiol, 2017; 7:55. [DOI:10.3389/fcimb.2017.00055]
4. Pormohammad A, Mehdinejadiani K, Gholizadeh P, et al. Global prevalence of colistin resistance in clinical isolates of Acinetobacter baumannii: A systematic review and meta-analysis. Microbial Pathogenesis, 2020; 139:103887. [DOI:10.1016/j.micpath.2019.103887] [PMID]
5. Wang X, Qin LJ. A review on Acinetobacter baumannii. J Acute Dis, 2019; 8: 16-20. [DOI:10.4103/2221-6189.250373]
6. Lin MF, Lan CY. Antimicrobial resistance in Acinetobacter baumannii: from bench to bedside. World J. Clin. Cases, 2014; 2, 787-814. [DOI:10.12998/wjcc.v2.i12.787] [PMID] [PMCID]
7. Wong D, Nielsen TB, Bonomo RA, Pantapalangkoor P, Luna BM, Spellberg BJ. Clinical and Pathophysiological Overview of Acinetobacter Infections: a Century of Challenges. Clinical microbiology reviews, 2016; 30 1, 409-447. [DOI:10.1128/CMR.00058-16] [PMID] [PMCID]
8. Levi I, Rubinstein E. Acinetobacter infections-overview of clinical features. In: Bergogne-Berezin E, Joly-Guillou M L, Towner K J, editors. Acinetobacter: microbiology, epidemiology, infections, management, 1996. New York, N.Y: CRC Press; 1996. pp. 101-115.
9. Karyne R, Curty Lechuga G, Almeida Souza AL, Rangel da Silva Carvalho JP, Simões Villas Bôas MH, De Simone SG. Pan-Drug Resistant Acinetobacter baumannii, but Not Other Strains, Are Resistant to the Bee Venom Peptide Mellitin. Antibiotics, 2020; 9, 178. [DOI:10.3390/antibiotics9040178] [PMID] [PMCID]
10. Da Silva GJ, Domingues S. Interplay between Colistin Resistance, Virulence and Fitness in Acinetobacter baumannii. Antibiotics, 2017; 6, 28. [DOI:10.3390/antibiotics6040028] [PMID] [PMCID]
11. World Health Organization (WHO). WHO Publishes List of Bacteria for Which New Antibiotics Are Urgently Needed; WHO: Geneva, Switzerland, 2017.
12. Hoang Quoc C, Nguyen Thi Phuong, T, Nguyen Duc H, Tran Le T, Tran Thi Thu H, Nguyen Tuan S, Phan Trong L. Carbapenemase Genes and Multidrug Resistance of Acinetobacter Baumannii: A Cross Sectional Study of Patients with Pneumonia in Southern Vietnam. Antibiotics, 2019; 8, 148. [DOI:10.3390/antibiotics8030148] [PMID] [PMCID]
13. Aybar Türkoğlu M, Topeli Iskit A. Ventilator associated pneumonia caused by high risk microorganisms: a matched case-control study. Tuberk Toraks, 2008; 56(2): 139-49.
14. Maccain KW, Whitney PJ. Contrasting assessments of interdisciplinarity in emerging specialties. Knowledge: Creation, Diffusion, Utilization, 1994; 15(3): 285-306. [DOI:10.1177/107554709401500303]
15. Chen C, Chen Y, Horowitz M, Hou H, Liu Z, Pellegrino D. Towards an Explanatory and Computational Theory of Scientific Discovery 1 Introduction. Journal of Informetrics Special Issue on Science of Science, 2009; 1-32.
16. Shiffrin RM, Borner K. Introduction. In: Mapping knowledge domains. PNAS, 2004, 101, Suppl, 1: 5183-5185. [DOI:10.1073/pnas.0307852100] [PMID] [PMCID]
17. Tajedini O, Soheili F, Sadatmoosavi A. The Centrality Measures in Co-authorship Networks: Synergy or Antagonism in Researchers' Research Performance. Iranian Journal of Information Processing & Management, 2019; 34 (3):1423-1452. (In Persian)
18. Soheili F, Osareh F. Concepts of Centrality and Density in Scientific and Social Networks. National Studies on Librarianship and Information Organization, 2013; 24(3): 92-108. (In Persian)
19. Leydesdorff L, Wagner CS, Bornmann L. Betweenness and diversity in journal citation networks as measures of interdisciplinarity-A tribute to Eugene Garfield. Scientometrics, 2018; 114(2): 567-592. [DOI:10.1007/s11192-017-2528-2] [PMID] [PMCID]
20. Goltaji M, Behzadi Z. Citation Analysis and Histographic Outline of Scientific Output in Pathology by the Middle East countries Using Science Citation Index during 2000-2009. National Studies on Librarianship and Information Organization, 2014; 25(2): 68-84. (In Persian)
21. Zou Lu-Xi, Sun L. Visualization analysis of health informatics research from 2001 to 2018. Current Science, 2020; 118, 5: 714-721.
22. Zeinoun P, Akl EA, Maalouf FT and Meho LI. The Arab Region's Contribution to Global Mental Health Research (2009-2018): A Bibliometric Analysis. Front. Psychiatry, 2020; 11:182. [DOI:10.3389/fpsyt.2020.00182] [PMID] [PMCID]
23. Liu F, Wu TT, Lei G and et al. Worldwide tendency and perspectives in traumatic dental injuries: A bibliometric analysis over two decades (1999-2018). Dent Traumatol, 2020; 00: 1- 9. [DOI:10.1111/edt.12555] [PMID]
24. Kınıkoğlu O, Güven YÖ, Kılboz BB. Publication and Citation Analysis of Medical Doctors' Residency Master's Theses Involving Animal Experiments on Rats in Turkey. Alternatives to Laboratory Animals, 2020; 026119292090722. [DOI:10.1177/0261192920907226] [PMID]
25. He S, Zhao Y, Fan Y, Zhao X, Yu J, Xie J, Wang C, Su J. Research Trends and Hotspots Analysis Related to Monocarboxylate Transporter 1: A Study Based on Bibliometric Analysis. Int. J. Environ. Res. Public Health, 2019; 16, 1091. [DOI:10.3390/ijerph16071091] [PMID] [PMCID]
26. Seo B, Kim J, Kim S, Lee E. Bibliometric analysis of studies about acute myeloid leukemia conducted globally from 1999 to 2018. Blood Res, 2020; 55(1): 1-9. [DOI:10.5045/br.2020.55.1.1] [PMID] [PMCID]
27. Zhou H, Tan W, Qiu Z, Song Y, Gao S. A bibliometric analysis in gene research of myocardial infarction from 2001 to 2015. PeerJ, 2018; 6: e4354. [DOI:10.7717/peerj.4354] [PMID] [PMCID]
28. Liao H, Tang M, Luo LM, Li C, Chiclana F, Zeng X. A Bibliometric Analysis and Visualization of Medical Big Data Research. Sustainability, 2018; 10,166: 1-18. [DOI:10.3390/su10010166]
29. Xing D, Zhao Y, Dong S, Lin J. Global research trends in stem cells for osteoarthritis: a bibliometric and visualized study. Int J Rheum Dis, 2018; 21: 1372-1384. [DOI:10.1111/1756-185X.13327] [PMID]
30. Hasanzadeh, P., Isfandyari-Moghaddam, A., soheili, F. (2018). 'Co-authorship and the Re-lationship between So-cial Influ-ence and the Extent of Effec-tiveness and Productivi-ty of Re-searchers in Domain of Chronic Cardiovas-cular Fail-ure'. Journal of Scientometrics, 2018; 4(8): 143-160.(In Persian)
31. Sweileh WM, Shraim NY, Al-Jabi SW, Sawalha AF, AbuTaha AS, Zyoud SH. Bibliometric analysis of global scientific research on carbapenem resistance (1986-2015). Annals of Clinical Microbiology and Antimicrobials, 2016; 15(1). [DOI:10.1186/s12941-016-0169-6] [PMID] [PMCID]
32. Analytics, C. Web of Science platform: Web of Science: Summary of Coverage, 2020; Available online: https: // (accessed on 18 March 2020).
33. Birkle C, Pendlebury DA, Schnell J, Adams J. Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 2020; 1(1): 363-376. [DOI:10.1162/qss_a_00018]
34. Khaleghi N. A Glance at Evaluative Indexes in Science and Technology. National Studies on Librarianship and Information Organization, 2007; 18(3), 91-106. (In Persian)
35. Jin B, Liang L, Rousseau R, Egghe L. The R-and AR-indices: Complementing the h-index. Chinese science bulletin. 2007; 52: 855-63. [DOI:10.1007/s11434-007-0145-9]
36. Danesh F, Ghavidel S. Coronavirus: Scientometrics of 50 Years of Global Scientific Productions. Iran J Med Microbiol, 2020; 14 (1):1-16. (In Persian) [DOI:10.30699/ijmm.14.1.1]
37. Soheili F, Sharif Moghaddam H, Mousavi Chelak A, Khasseh A A. An Evaluation of iMetric Studies through the Scholarly Influence Model. Iranian Journal of Information Processing & Management, 2016; 32 (1) :25-50.(In Persian)
38. Soheili F, Osareh F. 'Concepts of Centrality and Density in Scientific and Social Networks'. National Studies on Librarianship and Information Organization, 2013; 24(3): 92-108. (In Persian)
39. Soheili F, Mansoori A. The Analysis of the Iranian Chemistry co-Authorship Network using Centrality Measure. Journal of Library and Information Science Studies, 2014; 21(Vol.6, No.13): 89-106. (In Persian)
40. Burt RS. Structural Holes: The Social Structure of Competition. Massachusetts: Harvard University Press, 1992.
41. Figg WD, Dunn L, Liewehr DJ, Steinberg SM, Thurman PW, Barrett JC, Birkinshaw J. Scientific Collaboration Results in Higher Citation Rates of Published Articles. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, 2006; 26: 759-767. [DOI:10.1592/phco.26.6.759] [PMID]
42. Huamani C, Rey de Castro J, Gonzalez-Alcaide G, Polesel DN, Tufik S, Andersen ML. Scientific research in obstructive sleep apnea syndrome: bibliometric analysis in SCOPUS, 1991-2012. Sleep Breath, 2015; 19(1):109-14. [DOI:10.1007/s11325-014-0969-x] [PMID]

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