Mehmet Dokur, Mukaddes Pala, Mahmut Demirbilek, Nilgun Pala Acikgoz

How Does Social Media Impact the Number of Citations? An Altmetric Analysis of the 50 Most-Cited MicroRNA Articles

Objective: Altmetric analysis is web-based a metric analysis. Social media platforms affect medical literature over the last few years. Thealtmetric Attention Score (AAS) is an automatically calculated metric for monitoring social media. This study aimed to determine thecorrelation between AAS and the number of citations received from important articles published in the last 11 years with microRNAs.Methods: MicroRNA as a search term was entered into the Web of Science database to identify all articles. The most 50 cited articles were analyzed by Topic, Journal Name, First Author, Publication Year, Citation, Average Citation Per Year (ACPY), Impact Factor(IF), Quartile (Q) Category, H Index, and AAS.Results: Altmetric explorer identified 45.911 articles as being referred to online. Correlation analysis revealed that there was a weakcorrelation between AAS and the number of citations (p

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1. Ha M, Kim VN. Regulation of microRNA biogenesis. Nat Rev Mol Cell Biol 2014; 15: 509-24. [Crossref]
2. Broughton JP, Lovci MT, Huang JL, Yeo GW, Pasquinelli AE. Pairing beyond the Seed Supports MicroRNA Targeting Specificity. Mol Cell 2016; 64: 320-33. [Crossref]
3. Vasudevan S. Posttranscriptional Upregulation by MicroRNAs. Wiley Interdiscip Rev RNA 2012; 3: 311-30. [Crossref]
4. Makarova JA, Shkurnikov MU, Wicklein D, Lange T, Samatov TR, Turchinovich AA, et al. Intracellular and extracellular microRNA: An update on localization and biological role. Prog Histochem Cytochem 2016; 51: 33-49. [Crossref]
5. Absalon S, Kochanek DM, Raghavan V, Krichevsky AM. MiR-26b, upregulated in Alzheimer’s disease, activates cell cycle entry, Tau-phosphorylation, and apoptosis in postmitotic neurons. J Neurosci 2013; 33: 14645-59. [Crossref]
6. Wang F, Chen C, Wang D. Circulating microRNAs in cardiovascular diseases: from biomarkers to therapeutic targets. Front Med 2014; 8: 404-18. [Crossref]
7. Lin S, Gregory RI. MicroRNA biogenesis pathways in cancer. Nat Rev Cancer 2015; 15: 321-33. [Crossref]
8. Casey MC, Kerin MJ, Brown JA, Sweeney KJ. Evolution of a research field-a micro (RNA) example. PeerJ 2015; 3: e829. [Crossref]
9. He L, Hannon GJ. MicroRNAs: Small RNAs with a big role in gene regulation. Nat Rev Genet 2004; 5: 522-31. [Crossref]
10. Mendell JT. MicroRNAs: Critical regulators of development, cellular physiology and malignancy. Cell Cycle 2005; 4: 1179-84. [Crossref]
11. Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP, Burge CB. Prediction of Mammalian MicroRNA Targets. Cell 2003; 115: 787-98. [Crossref]
12. Bagga S, Bracht J, Hunter S, Massirer K, Holtz J, Eachus R, et al. Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation. Cell 2005; 122: 553-63. [Crossref]
13. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A 2008; 105: 10513-8. [Crossref]
14. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, et al. Characterization of microRNAs in serum: A novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res 2008; 18: 997-1006. [Crossref]
15. Creemers EE, Tijsen AJ, Pinto YM. Circulating MicroRNAs: Novel biomarkers and extracellular communicators in cardiovascular disease? Circ Res 2012; 110: 483-95. [Crossref]
16. Garfield E. Journal impact factor: A brief review. CMAJ 1999; 161: 979-80.
17. Harzing AW, Wal R Van Der. A google scholar h-index for journals: An alternative metric to measure journal impact in economics and business. J Am Soc Inf Sci Technol 2009. [Crossref]
18. Scimago SJR. Scimago Journal & Country Rank. Scimago Lab 2019.
19. Garfield E. Citation Indexes for Science: A New Dimension in Documentation through Association of Ideas. Science 1955; 122: 108-11. [Crossref]
20. Robinson-García N, Torres-Salinas D, Zahedi Z, Costas R. New data, new possibilities: Exploring the insides of altmetric.com. Prof la Inf 2014; 23: 359-66. [Crossref]
21. Haustein S, Costas R, Larivière V. Characterizing social media metrics of scholarly papers: The effect of document properties and collaboration patterns. PLoS One 2015; 10: e0127830. [Crossref]
22. www.altmetric.com. The donut and Altmetric Attention Score. altmetric.com. 2016.
23. Konkiel S. Altmetrics: diversifying the understanding of influential scholarship. Palgrave Communi cations 2016. [Crossref]
24. Wang J. Citation time window choice for research impact evaluation. Scientometrics 2013; 94: 851-72. [Crossref]
25. Paladugu R, Schein M, Gardezi S, Wise L. One hundred citation classics in general surgical journals. World J Surg 2002; 26: 1099-105. [Crossref]
26. Bartel DP. MicroRNAs: Target Recognition and Regulatory Functions. Cell 2009; 136: 215-33. [Crossref]
27. Wang GK, Zhu JQ, Zhang JT, Li Q, Li Y, He J, et al. Circulating microRNA: A novel potential biomarker for early diagnosis of acute myocardial infarction in humans. Eur Heart J 2010; 31: 659-66. [Crossref]
28. Xiao C, Rajewsky K. MicroRNA Control in the Immune System: Basic Principles. Cell 2009; 136: 26-36. [Crossref]
29. Memczak S, Jens M, Elefsinioti A, Torti F, Krueger J, Rybak A, et al. Circular RNAs are a large class of animal RNAs with regulatory potency. Nature 2013; 495: 333-8. [Crossref]
30. Mittelbrunn M, Gutiérrez-Vázquez C, Villarroya-Beltri C, González S, Sánchez-Cabo F, González MÁ, et al. Unidirectional transfer of microRNA-loaded exosomes from T cells to antigen-presenting cells. Nat Commun 2011; 2: 282. [Crossref]
31. Statista. Number of social media users worldwide 2010- 2021(WWWdocument). URL https://www.statista.com/statistics/278414/ number-of-worldwide-social-network-users/(accessed on 13 Dec 2018). 2018.
32. Rolls K, Hansen M, Jackson D, Elliott D How Health Care Professionals Use Social Media to Create Virtual Communities: An Integrative Review. J Med Internet Res 2016; 18: e166. [Crossref]
33. Dweep H, Sticht C, Pandey P, Gretz N. MiRWalk - Database: Prediction of possible miRNA binding sites by “ walking” the genes of three genomes. J Biomed Inform 2011; 44: 839-47. [Crossref]
34. Pasquinelli AE. MicroRNAs and their targets: Recognition, regulation and an emerging reciprocal relationship. Nat Rev Genet 2012; 13: 271-82. [Crossref]
35. Kota J, Chivukula RR, O’Donnell KA, Wentzel EA, Montgomery CL, Hwang HW, et al. Therapeutic microRNA Delivery Suppresses Tumorigenesis in a Murine Liver Cancer Model. Cell 2009; 137: 1005-17. [Crossref]
36. Cordes KR, Sheehy NT, White MP, Berry EC, Morton SU, Muth AN, et al. MiR-145 and miR-143 regulate smooth muscle cell fate and plasticity. Nature 2009; 460: 705-10. [Crossref]
37. Rayner KJ, Suárez Y, Dávalos A, Parathath S, Fitzgerald ML, Tamehiro N, et al. MiR-33 contributes to the regulation of cholesterol homeostasis. Science 2010; 328: 1570-3. [Crossref]
38. Chin MH, Mason MJ, Xie W, Volinia S, Singer M, Peterson C, et al. Induced Pluripotent Stem Cells and Embryonic Stem Cells Are Distinguished by Gene Expression Signatures. Cell Stem Cell 2009; 5: 111-23. [Crossref]
39. Weber JA, Baxter DH, Zhang S, Huang DY, Huang KH, Lee MJ, et al. The microRNA spectrum in 12 body fluids. Clin Chem 2010; 56: 1733-41. [Crossref]
40. Kosaka N, Iguchi H, Ochiya T. Circulating microRNA in body fluid: A new potential biomarker for cancer diagnosis and prognosis. Cancer Sci 2010; 101: 2087-92. [Crossref]
41. Ng EKO, Chong WWS, Jin H, Lam EKY, Shin VY, Yu J, et al. Differential expression of microRNAs in plasma of patients with colorectal cancer: A potential marker for colorectal cancer screening. Gut 2009; 58: 1375-81. [Crossref]
42. Ma L, Young J, Prabhala H, Pan E, Mestdagh P, Muth D, et al. MiR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis. Nat Cell Biol 2010; 12: 247-56. [Crossref]
43. Friedländer MR, MacKowiak SD, Li N, Chen W, Rajewsky N. MiRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res 2012; 40: 37-52. [Crossref]
44. Cesana M, Cacchiarelli D, Legnini I, Santini T, Sthandier O, Chinappi M, et al. A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell 2011; 147: 358- 69. [Crossref]
45. Esteller M. Non-coding RNAs in human disease. Nat Rev Genet 2011; 12: 861-74. [Crossref]
46. Li JH, Liu S, Zhou H, Qu LH, Yang JH. StarBase v2.0: Decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res 2014; 42: D92-7. [Crossref]
47. Costas R, Zahedi Z, Wouters P. Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology 2015. [Crossref]
48. Barakat AF, Nimri N, Shokr M, Mahtta D, Mansoor H, Masri A, et al. Correlation of Altmetric Attention Score and Citations for High-Impact General Medicine Journals: a Cross-sectional Study. J Gen Intern Med 2019; 34: 825-7. [Crossref]
49. Barakat AF, Nimri N, Shokr M, Mahtta D, Mansoor H, Mojadidi MK, et al. Correlation of Altmetric Attention Score With Article Citations in Cardiovascular Research. J Am Coll Cardiol 2018; 72: 952-3. [Crossref]
50. Rosenkrantz AB, Ayoola A, Singh K, Duszak R. Alternative Metrics (“Altmetrics”) for Assessing Article Impact in Popular General Radiology Journals. Acad Radiol 2017; 24: 891-897. [Crossref]