Background The use of social media assists in the distribution of COVID-19 information to the general public and health professionals. Alternative-level metrics (ie, altmetrics) and PlumX metrics are new bibliometrics that can assess how many times a scientific article has been shared and how much a scientific article has spread within social media platforms. Objective Our objective was to characterize and compare the traditional bibliometrics (ie, citation count and impact factors) and new bibliometrics (ie, Altmetric Attention Score [AAS] and PlumX score) of the top 100 COVID-19 articles with the highest AASs. Methods The top 100 articles with highest AASs were identified with Altmetric Explorer in May 2020. The AASs, journal names, and the number of mentions in various social media databases of each article were collected. Citation counts and PlumX Field-Weighted Citation Impact scores were collected from the Scopus database. Additionally, AASs, PlumX scores, and citation counts were log-transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were used to determine correlations. Results The median AAS, PlumX score, and citation count were 4922.50, 37.92, and 24.00, respectively. The New England Journal of Medicine published the most articles (18/100, 18%). The highest number of mentions (985,429/1,022,975, 96.3%) were found on Twitter, making it the most frequently used social media platform. A positive correlation was observed between AAS and citation count (r2=0.0973; P=.002), and between PlumX score and citation count (r2=0.8911; P<.001). Conclusions Our study demonstrated that citation count weakly correlated with AASs and strongly correlated with PlumX scores, with regard to COVID-19 articles at this point in time. Altmetric and PlumX metrics should be used to complement traditional citation counts when assessing the dissemination and impact of a COVID-19 article.

T-cell/histiocyte-rich large B-cell lymphoma is uncommon in children population. There were few cases reported in the literature with wide range clinical presentations including advanced stage, and more involvement of liver, spleen and bone marrow. Head and neck lymphadenopathy tends to present in younger children. We report a case of 10-year-old boy who initially presented intermittent fever, headaches and neck lymphadenopathy. Subsequently, he developed diffuse lymphadenopathy and hepatosplenomegaly. T-cell/histiocyte-rich large B-cell lymphoma was diagnosed on a cervical lymph node biopsy. Cervical lymphadenopathy in this age group is most commonly reactive or non-malignant processes. Lymphoma is much less frequent; mainly are non-Hodgkin lymphomas. However, a subset of large B-cell lymphoma called T-cell/histiocyte- rich B-cell lymphoma is rare in children.

BACKGROUND The use of social media assists in the distribution of information about COVID-19 to the general public and health professionals. Alternative-level metrics (Altmetrics) and PlumX metrics are new methods that can assess the amount of sharing and spreading of a scientific article in social media platforms. OBJECTIVE Our objective was to characterize the traditional metrics (citation-count) and new metrics of the top 100 Altmetric scored COVID-19 articles. METHODS 100 highest Altmetric Attention Score (AAS) articles were identified utilizing the Altmetric explorer in May 2020. AAS, journal name, and mentions from various social media databases of each article were collected. Citation-counts and PlumX Weighted Citation Impact scores were collected from the Scopus database. Additionally, AAS, PlumX scores, and citation-counts were log-transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations. RESULTS The median AAS, PlumX score, and citation-count were 4922.50, 37.92, and 24.00, respectively. Of 100 articles, New England Journal of Medicine published the most articles. Twitter was the most frequently used social media platform. Positive correlations were seen between AAS and citation-count (R2=0.0973; P=0.002, and PlumX score and citation-count (R2=0.8911; P<0.001). CONCLUSIONS Our research demonstrates that citation-count is weakly correlated with AAS, but strongly correlated with PlumX scores regarding COVID-19 articles at this point in time. Altmetrics and PlumX metrics should utilized in complement with traditional citation-count when assessing the dissemination and impact of an article regarding COVID-19.

Background The use of social media assists in the distribution of information about COVID-19 to the general public and health professionals. Alternative-level metrics (ie, Altmetrics) is an alternative method to traditional bibliometrics that assess the extent of dissemination of a scientific article on social media platforms. Objective Our study objective was to characterize and compare traditional bibliometrics (citation count) with newer metrics (Altmetric Attention Score [AAS]) of the top 100 Altmetric-scored articles on COVID-19. Methods The top 100 articles with the highest AAS were identified using the Altmetric explorer in May 2020. AAS, journal name, and mentions from various social media platforms (Twitter, Facebook, Wikipedia, Reddit, Mendeley, and Dimension) were collected for each article. Citation counts were collected from the Scopus database. Results The median AAS and citation count were 4922.50 and 24.00, respectively. TheNew England Journal of Medicine published the most articles (18/100, 18%). Twitter was the most frequently used social media platform with 985,429 of 1,022,975 (96.3%) mentions. Positive correlations were observed between AAS and citation count (r2=0.0973; P=.002). Conclusions Our research characterized the top 100 COVID-19–related articles by AAS in the Altmetric database. Altmetrics could complement traditional citation count when assessing the dissemination of an article regarding COVID-19. International Registered Report Identifier (IRRID) RR2-10.2196/21408

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