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Archives of Osteoporosis

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01-12-2021 | Osteoporosis | Original Article

Themes and trends for osteoporosis: the bibliometric and altmetric approach

Authors: Veysel Suzan, Bahar Bektan Kanat, Hakan Yavuzer, Alper Doventas

Published in: Archives of Osteoporosis | Issue 1/2021

Abstract

Summary

Our aim is to evaluate and compare the most discussed articles on osteoporosis in academia and social media. The treatment of osteoporosis was the most popular topic in the top 100 citation (n = 31) and altmetric lists (n = 47). The general public, as well as academia, is curious about the treatment of osteoporosis.

Purpose

The main aim of this study is to investigate the trends in the field of osteoporosis and guide researchers by conducting bibliometric and altmetric analysis for osteoporosis with the most cited and discussed articles on social media.

Methods

The keyword “osteoporosis” was searched from the Web of Science All Databases and Altmetric.com website, and the top 100 (T100) citation and altmetric list was created, respectively. The T100 citation and altmetric list articles were analyzed and compared in terms of study type, topic of study, first author, publication year, citation number, journal quartile in category, impact factor, and Altmetric Attention Score (AAS).

Results

T100 cited articles: the median for citation number was 1117 (range: 717–3854) and the median for AAS was 9 (range: 0–371). T100 altmetric articles: the AAS median was 158 (range: 93–658) and citation number median was 31 (range: 0–2132). Only 6 articles were the same in both lists. The number of articles about treatment was 31 in the T100 citation list and 47 in the T100 altmetric list. The most ranked journals were “The New England Journal of Medicine” with 22 articles in the T100 citation list and “Osteoporosis International” with 16 articles in the T100 altmetric list.

Conclusion

Unlike the citation number, one of the greatest contributions of AAS to researchers may be developing appropriate policies in the field of osteoporosis according to the interests of the society.

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Garfield E (2006) Citation indexes for science. A new dimension in documentation through association of ideas. 1955. Int J Epidemiol 35(5):1123–1127; discussion 1127–1128. https://doi.org/10.1093/ije/dyl189

Suzan V, Suzan AA (2021) A bibliometric analysis of sarcopenia: top 100 articles. Eur Geriatr Med 12(1):185–191. https://doi.org/10.1007/s41999-020-00395-y

Akmal M, Hasnain N, Rehan A, Iqbal U, Hashmi S, Fatima K, Farooq MZ, Khosa F, Siddiqi J, Khan MK (2020) Glioblastome multiforme: a bibliometric analysis. World Neurosurg 136:270–282. https://doi.org/10.1016/j.wneu.2020.01.027CrossRefPubMed

Samanci NS, Celik E (2020) The top 100 cited articles in lung cancer - a bibliometric analysis. Contemp Oncol (Pozn) 24(1):17–28. https://doi.org/10.5114/wo.2020.94725CrossRef

Suzan V, Unal D (2020) Comparison of attention for malnutrition research on social media versus academia: altmetric score analysis. Nutrition 82:111060. https://doi.org/10.1016/j.nut.2020.111060CrossRefPubMed

Araújo R, Sorensen AA, Konkiel S, Bloem BR (2017) Top altmetric scores in the Parkinson’s disease literature. J Parkinsons Dis 7(1):81–87. https://doi.org/10.3233/JPD-179000CrossRefPubMedPubMedCentral

NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy (2001) Osteoporosis prevention, diagnosis, and therapy. JAMA 285(6):785–795. https://doi.org/10.1001/jama.285.6.785

Cosman F, de Beur SJ, LeBoff MS, Lewiecki EM, Tanner B, Randall S, Lindsay R; National Osteoporosis Foundation (2014) Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos Int 25(10):2359–2381. https://doi.org/10.1007/s00198-014-2794-2

Kanis JA (2002) Diagnosis of osteoporosis and assessment of fracture risk. Lancet 359(9321):1929–1936. https://doi.org/10.1016/S0140-6736(02)08761-5CrossRefPubMed

10.

Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 359(9319):1761–1767. https://doi.org/10.1016/S0140-6736(02)08657-9CrossRefPubMed

11.

Consensus development conference (1993) diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med 94(6):646–650. https://doi.org/10.1016/0002-9343(93)90218-e (PMID: 8506892)CrossRef

12.

https://www.altmetric.com/explorer. Accessed: 2 November 2020

13.

https://www.altmetric.com/about-our-data/the-donut-and-score/. Accessed: 2 November 2020

14.

https://help.altmetric.com/support/solutions/articles/6000233311-how-is-the-altmetric-attention-score-calculated. Accessed: 2 November 2020

15.

scite: evaluate the veracity of scientific work. scite.ai (Accessed 16 February 2021)

16.

Boyle WJ, Simonet WS, Lacey DL (2003) Osteoclast differentiation and activation. Nature 423(6937):337–342. https://doi.org/10.1038/nature01658CrossRefPubMed

17.

Tucker KL, Morita K, Qiao N, Hannan MT, Cupples LA, Kiel DP (2006) Colas, but not other carbonated beverages, are associated with low bone mineral density in older women: the Framingham Osteoporosis Study. Am J Clin Nutr 84(4):936–942. https://doi.org/10.1093/ajcn/84.4.936CrossRefPubMed

18.

Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22(3):465–475. https://doi.org/10.1359/jbmr.061113CrossRefPubMed

19.

Xie Y, Wang J, Wang L, Zhu Y, Lei L, Wan T, Liao X, Liang B, Pang G, Miyamoto A, Zhang C (2020) Research trends in osteoporosis in Asian countries and regions in the last 20 years. Arch Osteoporos 15(1):130. https://doi.org/10.1007/s11657-020-00795-4CrossRefPubMed

20.

Qiu Y, Yang W, Wang Q, Yan S, Li B, Zhai X (2018) Osteoporosis in postmenopausal women in this decade: a bibliometric assessment of current research and future hotspots. Arch Osteoporos 13(1):121. https://doi.org/10.1007/s11657-018-0534-5CrossRefPubMed

21.

Simonet WS, Lacey DL, Dunstan CR et al (1997) Osteoprotegerin: a novel secreted protein involved in the regulation of bone density. Cell 89(2):309–319. https://doi.org/10.1016/s0092-8674(00)80209-3CrossRefPubMed

22.

Mithal A, Wahl DA, Bonjour JP et al (2009) Global vitamin D status and determinants of hypovitaminosis D. Osteoporos Int 20:1807–1820. https://doi.org/10.1007/s00198-009-0954-6CrossRefPubMed

23.

Hooshmand S, Kern M, Metti D et al (2016) The effect of two doses of dried plum on bone density and bone biomarkers in osteopenic postmenopausal women: a randomized, controlled trial. Osteoporos Int 27(7):2271–2279. https://doi.org/10.1007/s00198-016-3524-8CrossRefPubMed

24.

Cai S, Zhu J, Sun L et al (2019) Association between urinary triclosan with bone mass density and osteoporosis in US adult women, 2005–2010. J Clin Endocrinol Metab 104(10):4531–4538. https://doi.org/10.1210/jc.2019-00576CrossRefPubMed

Title: Themes and trends for osteoporosis: the bibliometric and altmetric approach
Authors: Veysel Suzan
Bahar Bektan Kanat
Hakan Yavuzer
Alper Doventas
Publication date: 01-12-2021
Publisher: Springer London
Keywords: Osteoporosis
Osteoporosis
Published in: Archives of Osteoporosis / Issue 1/2021
Print ISSN: 1862-3522
Electronic ISSN: 1862-3514
DOI: https://doi.org/10.1007/s11657-021-00983-w

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Themes and trends for osteoporosis: the bibliometric and altmetric approach

Abstract

Summary

Purpose

Methods

Results

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Summary

Purpose

Methods

Results

Conclusion

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