2021
DOI: 10.3389/fonc.2021.629687
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Research Interest and Public Interest in Melanoma: A Bibliometric and Google Trends Analysis

Abstract: IntroductionMelanoma is a severe skin cancer that metastasizes quickly. Bibliometric analysis can quantify hotspots of research interest. Google Trends can provide information to address public concerns.MethodsThe top 15 most frequently cited articles on melanoma each year from 2015 to 2019, according to annual citations, were retrieved from the Web of Science database. Original articles, reviews, and research letters were included in this research. For the Google Trends analysis, the topic “Melanoma” was sele… Show more

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Cited by 17 publications
(16 citation statements)
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References 76 publications
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“…Google Trends has been shown to be suitable for studying seasonal patterns of various skin problems. 47 , 48 , 49 , 50 In line with previous studies, we found a seasonal pattern for the internet interest for ticks with peaks of interest in May. 49 , 50 Expectedly, there was a peak of interest for insect stings in July.…”
Section: Discussionsupporting
confidence: 90%
“…Google Trends has been shown to be suitable for studying seasonal patterns of various skin problems. 47 , 48 , 49 , 50 In line with previous studies, we found a seasonal pattern for the internet interest for ticks with peaks of interest in May. 49 , 50 Expectedly, there was a peak of interest for insect stings in July.…”
Section: Discussionsupporting
confidence: 90%
“…In recent years, bibliometric analysis has been gradually applied in a variety of medical fields, such as respiratory medicine, ocular disease, and cancer. In dermatology, several research fields have been analyzed with bibliometric methods, such as general dermatology, melanoma, psoriasis, psoriatic arthritis, toxic epidermal necrolysis, and Stevens-Johnson syndrome ( 23 25 ).…”
Section: Discussionmentioning
confidence: 99%
“…Cosinor analysis was conducted to detect whether there was any seasonality in AD, and P < 0.05 was considered statistically significant (9). Time series plot was used to observe the trend of annual mean AD-related RSV.…”
Section: Discussionmentioning
confidence: 99%