Factors Influencing the Dissemination of Tweets at the American College of Surgeons Clinical Congress 2018

2020 ◽  
pp. 000313482095068
Author(s):  
Stephen P. Sharp ◽  
Douglas G. Mackenzie ◽  
David S.Y. Ong ◽  
Paschalia M. Mountziaris ◽  
Heather J. Logghe ◽  
...  
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Information Exchange ◽  
Multivariable Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Media Impact ◽  
Factors Influencing ◽  
American College Of Surgeons ◽  
Twitter Activity ◽  
The Impact

Background Social media is increasingly used in surgery, facilitating the dissemination of knowledge. Social media can potentially aid networking, education, and information exchange. This study explored the impact of tweet components and tweeter characteristics during a large surgical congress to inform recommendations for optimizing social media use at future surgical conferences. Methods Twitter activity was monitored during the American College of Surgeons Clinical Congress 2018 using NodeXL to extract tweets containing the conference hashtag #ACSCC18 (or #ACSCC2018). Multivariable logistic regression analysis was performed to identify independent predictors of retweet activity, also testing for multicollinearity and interactions among variables. Results There were 4386 tweets that contained #ACSCC18 (or #ACSCC2018) posted from 1023 Twitter accounts. A larger group of Twitter accounts just retweeted. Other Twitter accounts with a stake in the conference neither tweeted nor retweeted. In a multivariable analysis of original tweets, the following were all independently associated with retweets, in decreasing order of effect size: mention of other tweeters, multimedia, inclusion of other hashtags, and the number of followers. In contrast with other conferences, the inclusion of a weblink (URL)—for example, link to paper or blog—was not associated with retweets. Discussion This study helps understand social media impact at surgical conferences. Engage by tweeting and retweeting. Mention other tweeters, add multimedia, include congress hashtags and topic-specific hashtags, and build your followers. Although not associated with retweet activity in this study, the inclusion of URLs can still contribute in substantiating the disseminated content based on findings at other conferences.

scholarly journals Time to surgery following chronic subdural hematoma: post hoc analysis of a prospective cohort study

2019 ◽  
Vol 1 (1) ◽  
pp. e000012
Author(s):  
Sara Venturini ◽  
Daniel M Fountain ◽  
Laurence J Glancz ◽  
Laurent J Livermore ◽  
Ian C Coulter ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Subdural Hematoma ◽  
Multivariable Analysis ◽  
Chronic Subdural Hematoma ◽  
Positive Association ◽  
Multivariable Logistic Regression Analysis ◽  
Significant Positive Association ◽  
Time To Surgery ◽  
Factors Influencing ◽  
The Impact

BackgroundChronic subdural hematoma (CSDH) is a common neurological condition; surgical evacuation is the mainstay of treatment for symptomatic patients. No clear evidence exists regarding the impact of timing of surgery on outcomes. We investigated factors influencing time to surgery and its impact on outcomes of interest.MethodsPatients with CSDH who underwent burr-hole craniostomy were included. This is a subset of data from a prospective observational study conducted in the UK. Logistic mixed modelling was performed to examine the factors influencing time to surgery. The impact of time to surgery on discharge modified Rankin Scale (mRS), complications, recurrence, length of stay and survival was investigated with multivariable logistic regression analysis.Results656 patients were included. Time to surgery ranged from 0 to 44 days (median 1, IQR 1–3). Older age, more favorable mRS on admission, high preoperative Glasgow Coma Scale score, use of antiplatelet medications, comorbidities and bilateral hematomas were associated with increased time to surgery. Time to surgery showed a significant positive association with length of stay; it was not associated with outcome, complication rate, reoperation rate, or survival on multivariable analysis. There was a trend for patients with time to surgery of ≥7 days to have lower odds of favorable outcome at discharge (p=0.061).ConclusionsThis study provides evidence that time to surgery does not substantially impact on outcomes following CSDH. However, increasing time to surgery is associated with increasing length of stay. These results should not encourage delaying operations for patients when they are clinically indicated.

scholarly journals Determinants of Social Media Impact in Local Government

2016 ◽  
Vol 28 (3) ◽  
pp. 82-103 ◽  
Author(s):  
Mohd Hisham Mohd Sharif ◽  
Indrit Troshani ◽  
Robyn Davidson
Keyword(s):  
Social Media ◽  
Local Government ◽  
Structural Equation ◽  
Limited Attention ◽  
Security Risks ◽  
Media Impact ◽  
The Public ◽  
Perceived Security ◽  
The Impact ◽  
Media Data

Limited attention has been directed towards understanding the impact of social media in the public sector, particularly in local government organisations. Although social media offer substantial benefits and opportunities to local government, research into the impact of social media remains scant. To address this gap, the authors draw on the technology, organisation, and environment (TOE) framework and propose a model of the determinants of social media impact in local government. The model is tested with data collected via a survey with 173 Australian local government organisations using social media. Data were analysed using the partial least squares-structural equation modelling (PLS-SEM) technique. The results indicate that TOE factors including perceived benefits, perceived security risks, compatibility, and degree of formalisation are important predictors of social media impact in local government.

scholarly journals The Influence of YouTube Beauty Vloggers on Indonesian Consumers’ Purchase Intention of Local Cosmetic Products

2020 ◽  
Vol 15 (5) ◽  
pp. 100
Author(s):  
Jui-Lung Chen ◽  
Apritika Dermawan
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Purchase Intention ◽  
Future Research ◽  
Web Based ◽  
Practical Applications ◽  
Mainstream Media ◽  
Marketing Tool ◽  
Willingness To Purchase ◽  
The Impact

Social media are web-based technology and social platform that involve social, personal and technological factors, which have triggered the development and evolution of website-based communities. Moreover, relevant web-based applications have also become the mainstream media for value creation and information exchange. The proliferation, convenience, and immediacy of social media have attracted many enterprises to adopt social media as a marketing tool. Among them, Electronic Word-of-Mouth (E-WoM), used mostly by vloggers (video bloggers), enables its users to review products and express their opinions on social media. Therefore, E-WoM has gradually become an important source of information for consumers, which influences their purchasing decisions. YouTube, a video sharing platform affiliated with Google, is a popular social media with tons of users. One of its most appealing and popular communities is Beauty Blogger, where beauty vloggers create and upload videos about beauty products. This study explored the impact of YouTube beauty vlogger on the attitude of Indonesian women towards locally made cosmetics and their willingness to purchase them. Based on the research results, relevant conclusions and recommendations were proposed which can be used as a reference for future research and practical applications.

scholarly journals The Impact of Social Media on Customers’ Loyalty toward Hotels in Jordan

2019 ◽  
Vol 14 (5) ◽  
pp. 123
Author(s):  
Faiz H. Zoubi ◽  
Diya Mohammad Al-Harazneh
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Causal Relationship ◽  
Mediating Effect ◽  
Marketing Managers ◽  
The Impact ◽  
The Relationship ◽  
Hotel Customers

The present study aimed at exploring the impact of social media on customers' loyalty toward the five stars hotels located in Jordan, it also aimed at exploring the impact of satisfaction as a mediating variable on the relationship between social media and customers’ loyalty from the perspectives of customers and marketing managers. In more precise, to measure the mediating effect of satisfaction in the causal relationship between social media and customers’ loyalty toward five stars hotels. Regression analysis and correlational coefficient were used for analysis purposive of the acquired data that were collected through a self-designed questionnaire.  A sample of (200) hotel customers and (32) marketing managers was drawn from the population of the study. The major findings of the study were as follow: social media has a statistical significant effect on customer’s loyalty, and on satisfaction. Satisfaction as mediating variable has a statistical significant effect on the relationship between social media and customer’s loyalty. Furthermore; marketing managers were found to be having positive beliefs that social media has an effect on customers’ loyalty. But communication and motivation were found to be having no significant effect on customer’s loyalty.

Who is Setting Emotions? A Comparative Study on Emotion Diffusion in Social Media among Public, Government and Media during the COVID-19 Pandemic in China (Preprint)

2021 ◽  
Author(s):  
Shuhuan Zhou ◽  
Yi Wang
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Positive Emotions ◽  
Negative Emotions ◽  
Chinese Government ◽  
The Public ◽  
The Media ◽  
The Government ◽  
The Impact ◽  
Time Point

BACKGROUND During the COVID-19 outbreak, social media served as the main platform for information exchange, through which the Chinese government, media and public would spread information. At the same time, a variety of emotions interweave, and the public emotions would also be affected by the government and media. OBJECTIVE This study aims to investigate the types, trends and relationships of emotional diffusion in Chinese social media among the public, the government and the media under the pandemic of COVID-19 (December 30,2019, to July 1,2020) . METHODS In this paper, Python 3.7.0 and its data crawling framework Scrapy 1.5.1 are used to write a web crawler program to search for super topics related to COVID-19 on Sina Weibo platform of different keywords . Then, we used emotional lexicon to analyze the types and trends of the public, government and media emotions on social media. Finally cross-lagged regression was applied to build the relationships of different subjects’ emotions. RESULTS The highlights of our study are threefold: (1) The public, the government and the media mainly diffuse positive emotions during the COVID-19 pandemic in China; (2) Emotional diffusion shows a certain change over time, and negative emotions are obvious in the initial phase of the pandemic, with the development of the pandemic, positive emotions surpass negative emotions and remain stable. (3)The impact among the three main emotions with the period as the time point is weak, while the impact of emotion with the day as the time point is relatively obvious. The emotions of the public and the government impact each other, and the media emotions can guide the public emotions. CONCLUSIONS This is the first study of comparing pubic, government and media emotions on the social media during COVID-19 pandemic in China. The pubic, the government and the media mainly diffuse positive emotions during the pandemic. And the government and the media have better effect on short-term emotional guidance. Therefore, when the pandemic suddenly occurs, the government and the media should intervene in time to solve problems and conflicts and diffuse positive and neutral emotions. In this regard, the government and the media can play important roles through social media in the major outbreaks. At the theoretical level, this paper takes China's epidemic environment and social media as the background to provide one of the explanatory perspectives for the spread of emotions on social media. At the some time, because of this special background, it can provide comparison and reference for the research on internet emotions in other countries.

scholarly journals Early repolarisation among athletes

2020 ◽  
Vol 6 (1) ◽  
pp. e000694
Author(s):  
Femke M A P Claessen ◽  
Heidi A P Peeters ◽  
Bastiaan J Sorgdrager ◽  
Peter L J van Veldhoven
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sudden Cardiac Death ◽  
Ventricular Fibrillation ◽  
Outpatient Clinic ◽  
Cardiac Death ◽  
Multivariable Analysis ◽  
Control Group ◽  
Multivariable Logistic Regression Analysis ◽  
Athlete Group

ObjectivesTraditionally, early repolarisation (ER) is considered a benign ECG variant, predominantly found in youths and athletes. However, a limited number of studies have reported an association between ER and the incidental occurrence of ventricular fibrillation or sudden cardiac death. Yet definite, direct comparisons of the incidence of ER in unselected, contemporary populations in athletes as compared with non-athletes and across different sports are lacking. This study therefore aimed to investigate whether ER is more common among athletes as compared with non-athletes, and if ER patterns differ between sport disciplines based on static and dynamic intensity.MethodsTo assess ER we retrospectively analysed ECGs of 2241 adult subjects (2090 athletes, 151 non-athletes), who had a sports medical screening between 2010 and 2014 in an outpatient clinic. The outcome was tested for confounders in a multivariable logistic regression analysis.ResultsER was found in 502 athletes (24%). We found a 50% higher prevalence of ER in the athlete group compared with the control group (OR 1.5 (SE 0.34), adjusted 95% CI 1.0 to 2.4) in multivariable analysis. A 30% higher prevalence of ER in the inferior leads only (OR 1.3 (SE 0.38), adjusted 95% CI 0.74 to 2.3), a 120% higher prevalence of ER in the lateral leads only (OR 2.2 (SE 1.0), adjusted 95% CI 0.87 to 5.4), and a 20% higher prevalence of ER in the inferior and lateral leads (OR 1.2 (SE 0.49), adjusted 95% CI 0.55 to 2.7) was found in athletes.ConclusionAthletes had a 50% higher prevalence of ER and a 30% higher prevalence of ER in the inferior leads specifically. There was no association between training duration or sports discipline and ER.

scholarly journals Social Media and the Politics of Small Data: Post Publication Peer Review and Academic Value

2015 ◽  
Vol 33 (4) ◽  
pp. 3-26 ◽  
Author(s):  
Lisa Blackman
Keyword(s):  
Social Media ◽  
Open Access ◽  
Peer Review ◽  
Journal Article ◽  
Academic Science ◽  
Open Access Publishing ◽  
Small Data ◽  
Media Impact ◽  
Digital Environments ◽  
The Impact

Academics across the sciences and humanities are increasingly being encouraged to use social media as a post-publication strategy to enhance and extend the impact of their articles and books. As well as various measures of social media impact, the turn towards publication outlets which are open access and free to use is contributing to anxieties over where, what and how to publish. This is all the more pernicious given the increasing measures of academic value that govern the academy, and the stresses, strains and hidden injuries that structure academic life. This article will debate these issues and their consequences for the humanities and social sciences by analysing the contours of a recent controversy in academic science publishing, which follows the after-lives of a highly cited journal article. This includes a discussion of the value and status of post-publication peer review, and the politics of open access publishing, of citation and the public communication of science within digital environments and archives.

Does social media matter for post typology? Impact of post content on Facebook and Instagram metrics

2016 ◽  
Vol 40 (4) ◽  
pp. 458-471 ◽  
Author(s):  
Ricardo Limongi França Coelho ◽  
Denise Santos de Oliveira ◽  
Marcos Inácio Severo de Almeida
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Design Methodology ◽  
Ordinary Least Squares ◽  
User Preference ◽  
Content Type ◽  
Dependent Variables ◽  
Body Design ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to measure the impact of post type (advertising, fan, events, information, and promotion) on two interaction metrics: likes and comments. The measuring involved two popular social media, Facebook and Instagram, and in business profiles of five different segments (food, hairdressing, ladies’ footwear, body design, fashion gym wear). Design/methodology/approach – The method used was multiple regression analysis with an estimator of the ordinary least squares for 1,849 posts from five different companies posted on Facebook (680 posts) and Instagram (1,169 Instagram) over an eight-month posting period. Regression analysis was used to identify the relationship between the dependent variables (likes and comments), and the independent variables (post typology, segments, week period, month, characters and hashtag). Findings – It was seen that the post types events and promotion led to a greater involvement of followers in Instagram, in particular. In Facebook, the events post type was only significant in the like’s interaction. Another finding of the research is the relevance of the food and body design segment which was significant in both virtual social media. This indicates a user preference involving their day-to-day lives, in this case, having a tattoo done or seeing a photo of a dessert. Originality/value – With the findings of this study, academics and social media managers can improve the return indicators of interactions in posts and broaden the discussion on the types of post and interaction in different virtual social media.

scholarly journals Post-cesarean section surgical site infection and associated factors in East Gojjam zone primary hospitals, Amhara region, North West Ethiopia, 2020

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261951
Author(s):  
Hulubante Bizuayew ◽  
Haimanot Abebe ◽  
Getachew Mullu ◽  
Likinaw Bewuket ◽  
Daniel Tsega ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cesarean Section ◽  
Surgical Site Infection ◽  
Logistic Regression Analysis ◽  
Multivariable Analysis ◽  
Outcome Variable ◽  
P Value ◽  
Multivariable Logistic Regression Analysis ◽  
Site Infection

Purpose Maternal surgical site infection after cesarean delivery is a clinical problem which contributes to significant morbidity and mortality. In Ethiopia admissions following cesarean section due to surgical site infection have been routine activities of health care institutions but there is limited scientific evidence on both the magnitude of the problem and factors associated with it making prevention mechanisms less effective. Therefore, this study aimed to assess magnitude and risk factors of post-cesarean section surgical site infection at primary hospitals of East Gojjam Zone, Northwest Ethiopia. Methods Institution-based cross sectional study with retrospective chart review was conducted from September 10–30 /2020 at 3 randomly selected primary hospitals of east Gojjam zone. The data were entered in Epi data version 3.1 and exported to Statistical Package for Social Science Software version 26. Post-cesarean section surgical site infection was measured based on disease classification and definition of the term by Center for Disease Control and Prevention. After checking for presence of multicollinarity, presence and degree of association of factors with outcome variable were computed through logistic regression analysis. Factors with P value ≤ 0.2 in bi-variable logistic regression analysis were included in the multivariable logistic regression analysis and those variables with P-value of <0.05 in multivariable analysis were considered statistically significant. Result From 622 medical records of women who underwent cesarean section, 77 (12.4%) of them developed surgical site infection. Rural residence [(AOR = 2.30, 95%CI: (1.29, 4.09)], duration of labor greater than 24hrs [(AOR = 3.48, 95%CI: (1.49, 8.09)], rupture of membrane>12hrs[(AOR = 4.61,95%CI:(2.34,9.09)], hypertension[(AOR = 3.14,95%CI:(1.29,7.59)] and preoperative Hematocrit ≤30%[(AOR = 3.22,95%CI:(1.25,8.31)] were factors significantly associated with post-cesarean section surgical site infections. Conclusion Magnitude of post-cesarean section surgical site infection was a significant problem in primary hospitals. Minimizing prolonged labor; minimize early rupture of membrane, properly managing patients with comorbidities like hypertension, strengthen prophylaxis and treatment for anemia during antenatal care and raising awareness for rural residents can reduce the problem. Zonal police makers should give emphasis to reduce its burden.

scholarly journals The Patterns and Impact of Social Media Exposure of Journal Publications in Gastroenterology (Preprint)

2020 ◽  
Author(s):  
ALC Chiang ◽  
Loren Galler Rabinowitz ◽  
Javid Alakbarli ◽  
Walter Chan
Keyword(s):  
Social Media ◽  
Basic Science ◽  
Multivariable Analysis ◽  
Mean Difference ◽  
Official Journal ◽  
Article Type ◽  
Social Media Platforms ◽  
Secondary Analyses ◽  
Meta Analyses ◽  
The Impact

BACKGROUND Medical journals increasingly promote published content through social media platforms such as Twitter. However, gastroenterology (GI) journals still rank below average in social media engagement. OBJECTIVE We aimed to determine the engagement patterns of publications in GI journals on Twitter and evaluate the impact of tweets on citations. METHODS This was a retrospective cohort study comparing the 3-year citations of all full-length articles published in five major GI journals in 1/1/2012-12/31/2012 tweeted by the official journal account with those that were not. Multivariable analysis using linear regression was performed to control for journal impact factor, time since publication, article type, frequency of re-posting by other users (“re-tweets”), and media addition to tweets. Secondary analyses were performed to assess the associations between article type or subtopic and likelihood of social media promotion/engagement. RESULTS 1666 articles were reviewed, with 477 tweeted by the official journal account. Tweeting an article independently predicted increased citations after controlling for potential confounders (β-coefficient=13.09;p=0.007). There was significant association between article type and number of re-tweets on ANOVA (p<0.0001), with guidelines/technical reviews (mean difference: 1.04, CI 0.22-1.87;p<0.05) and meta-analyses/systemic reviews (mean difference: 1.03, CI 0.35-1.70;p<0.05) being re-tweeted more than basic science. Manuscript subtopics most frequently promoted include motility/functional bowel disease (OR=3.84; CI: 1.93-7.64;p=0.0001) and education (OR=4.69; CI: 1.62-13.58;p=0.0044) while basic science papers were less likely tweeted (OR=0.154; CI: 0.07-0.34;p<0.0001). CONCLUSIONS Tweeting of GI journal articles independently predicted higher 3-year citations. Wider adoption of social media to increase reach and measure uptake of published research should be considered.

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