scholarly journals Assessment of Altmetrics and PlumX Metrics Scoring as Mechanisms to Evaluate the Top 100 Trending Hidradenitis Suppurativa Articles on Social Media: Cross-Sectional Study

10.2196/23724 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e23724
Author(s):  
Chapman Wei ◽  
Aaron Fong ◽  
Theodore Quan ◽  
Puneet Gupta ◽  
Adam Friedman

Background Dermatologists are increasingly utilizing social media platforms to disseminate scientific information. New tools, such as altmetrics and PlumX metrics, have been made available to rapidly capture the level of scientific article dissemination across social media platforms. However, no studies have been performed to assess the level of scientific article dissemination across social media regarding hidradenitis suppurativa, a disease that is still currently not well understood. Objective The aim of our study was to evaluate the utility of altmetrics and PlumX metrics by characterizing the top 100 “trending” hidradenitis suppurativa articles in the altmetric database by the altmetric attention score and PlumX score. Methods Altmetric data components of the top 100 hidradenitis suppurativa articles were extracted from the altmetric database. Article citation count was found using Web of Science. PlumX field-weighted impact scores for each article were collected from the Scopus database. Journal title, open-access status, article type, and study design of original articles were assessed. Additionally, the altmetric attention score, PlumX score, and citation count were log transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations. Results Most of the top 100 “trending” hidradenitis suppurativa articles were published in JAMA Dermatology (n=27, 27%). The median altmetric attention score, PlumX score, and citation count were 25.5, 3.7, and 10.5, respectively. The most mentions regarding social media platforms came from Twitter. Although no correlation was observed between the citation count and altmetric attention score (r2=0.019, P=.17), positive correlation was observed between the citation count and PlumX score (r2=0.469, P<.001). Conclusions Our research demonstrated that citation count is not correlated with the altmetric attention score, but is strongly correlated with the PlumX score regarding hidradenitis suppurativa articles at this point in time. With the continual increase of social media usage by medical professionals and researchers, this study can help investigators understand the best way to captivate their audience.

2020 ◽  
Author(s):  
Chapman Wei ◽  
Aaron Fong ◽  
Theodore Quan ◽  
Puneet Gupta ◽  
Adam Friedman

BACKGROUND Dermatologists are increasingly utilizing social media platforms to disseminate scientific information. New tools, such as altmetrics and PlumX metrics, have been made available to rapidly capture the level of scientific article dissemination across social media platforms. However, no studies have been performed to assess the level of scientific article dissemination across social media regarding hidradenitis suppurativa, a disease that is still currently not well understood. OBJECTIVE The aim of our study was to evaluate the utility of altmetrics and PlumX metrics by characterizing the top 100 “trending” hidradenitis suppurativa articles in the altmetric database by the altmetric attention score and PlumX score. METHODS Altmetric data components of the top 100 hidradenitis suppurativa articles were extracted from the altmetric database. Article citation count was found using Web of Science. PlumX field-weighted impact scores for each article were collected from the Scopus database. Journal title, open-access status, article type, and study design of original articles were assessed. Additionally, the altmetric attention score, PlumX score, and citation count were log transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations. RESULTS Most of the top 100 “trending” hidradenitis suppurativa articles were published in <i>JAMA Dermatology</i> (n=27, 27%). The median altmetric attention score, PlumX score, and citation count were 25.5, 3.7, and 10.5, respectively. The most mentions regarding social media platforms came from Twitter. Although no correlation was observed between the citation count and altmetric attention score (<i>r<sup>2</sup></i>=0.019, <i>P</i>=.17), positive correlation was observed between the citation count and PlumX score (<i>r<sup>2</sup></i>=0.469, <i>P</i>&lt;.001). CONCLUSIONS Our research demonstrated that citation count is not correlated with the altmetric attention score, but is strongly correlated with the PlumX score regarding hidradenitis suppurativa articles at this point in time. With the continual increase of social media usage by medical professionals and researchers, this study can help investigators understand the best way to captivate their audience.


2020 ◽  
Author(s):  
Haley N. Tornberg ◽  
Carine Moezinia ◽  
Chapman Wei ◽  
Simone A. Bernstein ◽  
Chaplin Wei ◽  
...  

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 and compare traditional bibliometrics (citation-count and impact factors) with newer metrics (Altmetric Attention Score and PlumX Score) of the top 100 Altmetric scored COVID-19 articles. METHODS The 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 at 18% (18/100). Twitter was the most frequently used social media platform with 96.3% of the mentions (985,429/1,022,975). Positive correlations were seen between AAS and citation-count (r2=.0973; P=.002), and PlumX score and citation-count (r2=.8911; P<.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 be utilized in complement with traditional citation-count when assessing the dissemination and impact of an article regarding COVID-19. CLINICALTRIAL


2020 ◽  
Vol 105 (8) ◽  
pp. 744-748 ◽  
Author(s):  
Laura De Nardi ◽  
Andrea Trombetta ◽  
Sergio Ghirardo ◽  
Maria Rita Lucia Genovese ◽  
Egidio Barbi ◽  
...  

ObjectiveThis study aims to explore the attitude of adolescents with chronic diseases toward social media exposure, focusing in particular on Facebook.DesignCross-sectional study.SettingAn anonymous semistructured survey was distributed to an Italian hospital-based cohort of adolescents with chronic disease to explore the role of Facebook in their daily life.PatientsWe recruited 212 adolescents (aged between 13 and 24 years) with a diagnosis of inflammatory bowel disease, coeliac disease, diabetes mellitus type 1 and cystic fibrosis.ResultsTwo hundred and seven of the 212 (97.6%) expressed the need of sharing their illness experience with friends, 201 out of 212 (94.8%) usually searched information on the internet to find new therapies and to discover their prognosis. One hundred and forty-nine out of 212 adolescents (70.3%) perceived dependence on their parents as the most negative aspect of having a chronic disease, and 200 out of 212 (94.3%) were looking for friends with the same disease on Facebook. Two hundred and ten out of 212 (99.1%) did not want their doctors or nurse on their social media platforms. During the active disease periods, the time spent with social media increased from an average of 5 to 11 hours.ConclusionsThis descriptive analysis focused on the Facebook impact on chronic disease perception among affected adolescents. It showed that they used to spend an increased amount of time on this platform during disease flare-up and highlighted their wish of keeping doctors and nurses away from their social dimension.


2021 ◽  
Vol 20 (1) ◽  
pp. 169-175
Author(s):  
Ukamaka G. Okafor ◽  
Abubakar Ibrahim Jatau ◽  
Olukemi Alabi ◽  
Elijah N.A. Mohammed

Purpose: To assess the awareness and satisfaction of online renewal of practice licence among pharmacists in Nigeria.Methods: This was a cross-sectional study among pharmacists in Nigeria. Participants were recruited through; online (via social media platforms) or in person at Pharmacists Council of Nigeria (PCN) office during application for renewal of license.Results: A total of 878 participants completed the survey. Of this, 97.4 and 79.9 % were aware and satisfied with the online process, respectively. The respondents rated the process as excellent (19.1 %), fair (22.2 %), good (55.0 %) and poor (3.6 %). Most of the reported challenges included linking payment of association dues with license renewal, poor customer service and password retrieval.Conclusions: The level of awareness and satisfaction of the online renewal of annual licence among pharmacists in Nigeria is high. Measures are still needed to improve the online application process. Keywords: Pharmacists Council, Online, Licence, Pharmacist, Practice


2021 ◽  
pp. 014556132110421
Author(s):  
Nilan G. Vaghjiani ◽  
Vatsal Lal ◽  
Nima Vahidi ◽  
Ali Ebadi ◽  
Matthew Carli ◽  
...  

Objective: Determine whether social media platforms can influence article impact as measured by citations. Methods: Cross-sectional study that analyzed articles published in the top 10 otolaryngology journals by Eigenfactor score in January 2015. Total accumulated Twitter mentions and citations were recorded in 2021. The main outcomes examined the difference in citations, tweets, article types, and author counts accumulated over a 5-year period for all articles that were either tweeted or nontweeted. Results: A total of 3094 articles were included for analysis. The average article was cited 11.2 ± 13.2 times and tweeted 2.10 ± 4.0 times. Sixty-four percent of the articles had at least one tweet. Over the study period, there was a statistically significant difference in mean number of citations between tweeted articles (12.1 ± 15.0) versus nontweeted articles (9.6 ± 10.5) citations, representing a 26% difference ( P < .001). Review articles had the highest mean citations (19.4 ± 23.4) while editorials had the lowest mean citations (2.8 ± 6.9). Tweets peaked in the year of publication, but citations continued to rise in the subsequent years. Tweeted articles’ peak citation rate change was +1.27 mean citations per year, compared to +0.99 mean citations per year in nontweeted articles. The mean author count in tweeted articles (5.40 ± 3.1) was not significantly different than the mean author count in nontweeted articles (5.19 ± 2.65, P = .0794). Conclusion: These data suggest a moderate correlation between tweets and article citations, but a clear difference in the number of citations in articles tweeted versus those with no tweets. Thus, dissemination of knowledge may be impacted by social medial platforms such as Twitter.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261559
Author(s):  
Ali Ghaddar ◽  
Sanaa Khandaqji ◽  
Zeinab Awad ◽  
Rawad Kansoun

Background The massive, free and unrestricted exchange of information on the social media during the Covid-19 pandemic has set fertile grounds for fear, uncertainty and the rise of fake news related to the virus. This “viral” spread of fake news created an “infodemic” that threatened the compliance with public health guidelines and recommendations. Objective This study aims to describe the trust in social media platforms and the exposure to fake news about COVID-19 in Lebanon and to explore their association with vaccination intent. Methods In this cross-sectional study conducted in Lebanon during July–August, 2020, a random sample of 1052 participants selected from a mobile-phone database responded to an anonymous structured questionnaire after obtaining informed consent (response rate = 40%). The questionnaire was conducted by telephone and measured socio-demographics, sources and trust in sources of information and exposure to fake news, social media activity, perceived threat and vaccination intent. Results Results indicated that the majority of participants (82%) believed that COVID-19 is a threat and 52% had intention to vaccinate. Exposure to fake/ unverified news was high (19.7% were often and 63.8% were sometimes exposed, mainly to fake news shared through Watsapp and Facebook). Trust in certain information sources (WHO, MoPH and TV) increased while trust in others (Watsapp, Facebook) reduced vaccination intent against Covid-19. Believing in the man-made theory and the business control theory significantly reduced the likelihood of vaccination intent (Beta = 0.43; p = 0.01 and Beta = -0.29; p = 0.05) respectively. Conclusion In the context of the infodemic, understanding the role of exposure to fake news and of conspiracy believes in shaping healthy behavior is important for increasing vaccination intent and planning adequate response to tackle the Covid-19 pandemic.


2021 ◽  
Vol 18 (1) ◽  
pp. 48-69
Author(s):  
B URBAN ◽  
◽  
TL MAPHATHE ◽  

Social media platforms are increasingly used by SMEs who have fewer resources and need to rely on social media marketing to engage with their customers. This article investigates the extent to which social media platforms specifically Facebook, Instagram, and Twitter contribute to increased customer engagement. While past studies have concentrated on the adoption of social media in predominantly western contexts, this research is focused on SMEs in a relatively under-researched African market context, South Africa. The research design was a quantitative cross-sectional study relying on primary data collection, where hypotheses were tested using statistical analyses in terms of correlational and regression analyses. Results support the hypotheses where the use of Facebook, Instagram, and Twitter platforms show a significant and positive relationship with increased customer engagement. The findings have management implications where owner-managers should make use of social media by maintaining and growing an extensive network of ties to both collect information and identify resources, as well as to build a reputation and engage with their customers.


10.2196/12288 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e12288 ◽  
Author(s):  
Niranjan Jude Sathianathen ◽  
Robert Lane III ◽  
Declan G Murphy ◽  
Stacy Loeb ◽  
Caitlin Bakker ◽  
...  

Background Social media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication. Objective We, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score. Methods We included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month’s sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016. Results In our unselected sample of 145 recently published articles, social media coverage appeared to plateau approximately 14 days after publication. A total of 3150 articles with a median citation count of 16 (IQR 5-33) and Altmetric score of 72 (IQR 28-169) were included for analysis. On multivariable regression, compared with articles in the lowest quantile of #SoME_Score, articles in the second, third, and upper quantiles had 0.81, 15.20, and 87.67 more citations, respectively. On the validation dataset, #SoME_Score model outperformed the Altmetric score (adjusted R2 0.19 vs 0.09; P<.001). Articles in the upper quantile of #SoME_Score were more than 5 times more likely to be among the upper quantile of those cites (odds ratio 5.61, 95% CI 4.70-6.73). Conclusions Social media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.


Author(s):  
Nigel Harriman ◽  
Neil Shortland ◽  
Max Su ◽  
Tyler Cote ◽  
Marcia A. Testa ◽  
...  

Today’s youth have extensive access to the internet and frequently engage in social networking activities using various social media platforms and devices. This is a phenomenon that hate groups are exploiting when disseminating their propaganda. This study seeks to better understand youth exposure to hateful material in the online space by exploring predictors of such exposure including demographic characteristics (age, gender, and race), academic performance, online behaviors, online disinhibition, risk perception, and parents/guardians’ supervision of online activities. We implemented a cross-sectional study design, using a paper questionnaire, in two high schools in Massachusetts (USA), focusing on students 14 to 19 years old. Logistic regression models were used to study the association between independent variables (demographics, online behaviors, risk perception, parental supervision) and exposure to hate online. Results revealed an association between exposure to hate messages in the online space and time spent online, academic performance, communicating with a stranger on social media, and benign online disinhibition. In our sample, benign online disinhibition was also associated with students’ risk of encountering someone online that tried to convince them of racist views. This study represents an important contribution to understanding youth’s risk factors of exposure to hateful material online.


10.2196/12619 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e12619 ◽  
Author(s):  
David Cavallo ◽  
Rock Lim ◽  
Karen Ishler ◽  
Maria Pagano ◽  
Rachel Perovsek ◽  
...  

Background The prevalence of social media use among youth and young adults suggests it is an appropriate platform for study recruitment from this population. Previous studies have examined the use of social media for recruitment, but few have compared platforms, and none, to our knowledge, have attempted to recruit cigarillo users. Objective The purpose of this study was to examine the effectiveness of different social media platforms and advertisement images for recruiting cigarillo users aged 14-28 years to complete a cigarillo use survey. Methods We obtained objective data for advertisement impressions for a 39-week social media recruitment campaign. Advertisements were targeted to users based on their age, geography, and interests. Effectiveness was defined as the percentage of approved surveys per advertising impression. Chi-square tests were performed to compare the effectiveness of different advertisement images and platforms. Results Valid survey completers (n=1089) were predominately older (25-28 years old, n=839, 77%). Of the 1089 survey completers, 568 (52%) identified as male, 335 (31%) as African American, and 196 (18%) as Hispanic. Advertisements delivered via Facebook/Instagram were more effective than Twitter; 311/1,027,738 (0.03%) vs 661/2,998,715 (0.02%); χ21=21.45, N=4,026,453); P<.001. Across platforms, ads featuring exclusively an image of cigarillos were more effective (397/682,994, 0.06%) than ads with images of individuals smoking (254/1,308,675, 0.02%), individuals not smoking (239/1,393,134, .02%), and groups not smoking (82/641,650, 0.01%); χ23133.73, N=4,026,453; P<.001. Conclusions The campaign was effective in recruiting a diverse sample representative of relevant racial/ethnic categories. Advertisements on Facebook were more effective than Twitter. Advertisements that featured an image of a cigarillo were consistently the most effective and should be considered by others recruiting cigarillo users via social media.


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