Altmetrics of COVID-19 research: An analysis of study dissemination by Twitter compared to citation rates (Preprint)

2020 ◽  
Author(s):  
Nicholas Fabiano ◽  
Zachary Hallgrimson ◽  
Sakib Kazi ◽  
Jean-Paul Salameh ◽  
Stanley Wong ◽  
...  
Keyword(s):  
Social Media ◽  
Case Report ◽  
Open Access ◽  
South America ◽  
Negative Binomial ◽  
Citation Rate ◽  
Sign Test ◽  
Study Characteristics ◽  
Journal Impact ◽  
Epidemic Forecasting

BACKGROUND The COVID-19 pandemic has resulted in over 1,000,000 cases across 181 countries worldwide. The global impact of COVID-19 has resulted in a surge of related research. Researchers have turned to social media platforms, namely Twitter, to disseminate their studies. The online database Altmetric is a tool which tracks the social media metrics of articles and is complementary to traditional, citation-based metrics. Citation-based metrics may fail to portray dissemination accurately, due to the lengthy publication process. Altmetrics are not subject to this time-lag, suggesting that they may be an effective marker of research dissemination during the COVID-19 pandemic. OBJECTIVE To assess the dissemination of COVID-19 research articles as measured by Twitter dissemination, compared to traditional citation-based metrics, and determine study characteristics associated with tweet rates. METHODS COVID-19 studies obtained from LitCovid published between January 1st to March 18th, 2020 were screened for inclusion. The following study characteristics were extracted independently, in single: Topic (General Info, Mechanism, Diagnosis, Transmission, Treatment, Prevention, Case Report, and Epidemic Forecasting), open access status (open access and subscription-based), continent of corresponding author (Asia, Australia, Africa, North America, South America, and Europe), tweets, and citations. A sign test was used to compare the tweet rate and citation rate per day. A negative binomial regression analysis was conducted to evaluate the association between tweet rate and study characteristics of interest. RESULTS 1328 studies were included in the analysis. Tweet rates were found to be significantly higher than citation rates for COVID-19 studies, with a median tweet rate of 1.09 (SD 156.95) tweets per day and median citation rate of 0.00 (SD 3.02) citations per day, resulting in a median of differences of 1.09 (95% CI 0.86-1.33, P < .001). 2018 journal impact factors were positively correlated with tweet rate (P < .001). The topics Diagnosis (P = .01), Transmission (P < .001), Treatment (P = .01), and Epidemic Forecasting (P < 0.001) were positively correlated with tweet rate, relative to Case Report. The following continents of the corresponding author were negatively correlated with tweet rate, Africa (P <.001), Australia (P = .03), and South America (P < .001), relative to Asia. Open access journals were negatively correlated with tweet rate, relative to subscription-based journals (P < .001). CONCLUSIONS COVID-19 studies had significantly higher tweets rates compared to citation rates. This study further identified study characteristics that are correlated with the dissemination of studies on Twitter, such as 2018 journal impact factor, continent of the corresponding author, topic of study, and open access status. This highlights the importance of altmetrics in periods of rapidly expanding research, such as the COVID-19 pandemic to localize highly disseminated articles.

scholarly journals An analysis of COVID-19 article dissemination by Twitter compared to citation rates

2020 ◽  
Author(s):  
Nicholas Fabiano ◽  
Zachary Hallgrimson ◽  
Sakib Kazi ◽  
Jean-Paul Salameh ◽  
Stanley Wong ◽  
...  
Keyword(s):  
Social Media ◽  
Case Report ◽  
Open Access ◽  
South America ◽  
Negative Binomial ◽  
Citation Rate ◽  
Time Lag ◽  
Sign Test ◽  
Journal Impact ◽  
Epidemic Forecasting

AbstractBackgroundThe COVID-19 pandemic has resulted in over 1,000,000 cases across 181 countries worldwide. The global impact of COVID-19 has resulted in a surge of related research. Researchers have turned to social media platforms, namely Twitter, to disseminate their articles. The online database Altmetric is a tool which tracks the social media metrics of articles and is complementary to traditional, citation-based metrics. Citation-based metrics may fail to portray dissemination accurately, due to the lengthy publication process. Altmetrics are not subject to this time-lag, suggesting that they may be an effective marker of research dissemination during the COVID-19 pandemic.ObjectivesTo assess the dissemination of COVID-19 articles as measured by Twitter dissemination, compared to traditional citation-based metrics, and determine article characteristics associated with tweet rates.MethodsCOVID-19 articles obtained from LitCovid published between January 1st to March 18th, 2020 were screened for inclusion. The following article characteristics were extracted independently, in single: Topic (General Info, Mechanism, Diagnosis, Transmission, Treatment, Prevention, Case Report, and Epidemic Forecasting), open access status (open access and subscription-based), continent of corresponding author (Asia, Australia, Africa, North America, South America, and Europe), tweets, and citations. A sign test was used to compare the tweet rate and citation rate per day. A negative binomial regression analysis was conducted to evaluate the association between tweet rate and article characteristics of interest.Results1328 articles were included in the analysis. Tweet rates were found to be significantly higher than citation rates for COVID-19 articles, with a median tweet rate of 1.09 (IQR 6.83) tweets per day and median citation rate of 0.00 (IQR 0.00) citations per day, resulting in a median of differences of 1.09 (95% CI 0.86-1.33, P < .001). 2018 journal impact factors were positively correlated with tweet rate (P < .001). The topics Diagnosis (P = .01), Transmission (P < .001), Treatment (P = .01), and Epidemic Forecasting (P < .001) were positively correlated with tweet rate, relative to Case Report. The following continents of the corresponding author were negatively correlated with tweet rate, Africa (P < .001), Australia (P = .03), and South America (P < .001), relative to Asia. Open access journals were negatively correlated with tweet rate, relative to subscription-based journals (P < .001).ConclusionsCOVID-19 articles had significantly higher tweets rates compared to citation rates. This study further identified article characteristics that are correlated with the dissemination of articles on Twitter, such as 2018 journal impact factor, continent of the corresponding author, topic, and open access status. This highlights the importance of altmetrics in periods of rapidly expanding research, such as the COVID-19 pandemic to localize highly disseminated articles.

scholarly journals Scholarly Communication Practices in Humanities and Social Sciences: A Study of Researchers’ Attitudes and Awareness of Open Access

2018 ◽  
Vol 2 (1) ◽  
pp. 168-180 ◽  
Author(s):  
Bhuva Narayan ◽  
Edward J. Luca ◽  
Belinda Tiffen ◽  
Ashley England ◽  
Mal Booth ◽  
...  
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Open Access ◽  
Scholarly Communication ◽  
Academic Librarians ◽  
Online Questionnaire ◽  
Institutional Repositories ◽  
Change Perceptions ◽  
Use Of Social Media ◽  
Journal Impact

Abstract This paper examines issues relating to the perceptions and adoption of open access (OA) and institutional repositories. Using a survey research design, we collected data from academics and other researchers in the humanities, arts and social sciences (HASS) at a university in Australia. We looked at factors influencing choice of publishers and journal outlets, as well as the use of social media and nontraditional channels for scholarly communication. We used an online questionnaire to collect data and used descriptive statistics to analyse the data. Our findings suggest that researchers are highly influenced by traditional measures of quality, such as journal impact factor, and are less concerned with making their work more findable and promoting it through social media. This highlights a disconnect between researchers’ desired outcomes and the efforts that they put in toward the same. Our findings also suggest that institutional policies have the potential to increase OA awareness and adoption. This study contributes to the growing literature on scholarly communication by offering evidence from the HASS field, where limited studies have been conducted. Based on the findings, we recommend that academic librarians engage with faculty through outreach and workshops to change perceptions of OA and the institutional repository.

scholarly journals Social media: powering open access collaboration and global knowledge exchange

2021 ◽  
Author(s):  
Dhikshitha Gokulakrishnan ◽  
Sarah E. Butler ◽  
Dominic W. Proctor ◽  
Maarja‐Liis Ferry ◽  
Rajiv Sethi
Keyword(s):  
Social Media ◽  
Open Access ◽  
Knowledge Exchange ◽  
Global Knowledge

scholarly journals Author self-citation in orthodontics is associated with author origin and gender

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Christos Livas ◽  
Konstantina Delli ◽  
Nikolaos Pandis
Keyword(s):  
Negative Binomial ◽  
Case Reports ◽  
Citation Rate ◽  
Multivariable Analysis ◽  
Negative Binomial Regression ◽  
Original Research ◽  
Journal Citation Reports ◽  
Citation Counts ◽  
And Gender ◽  
Study Type

Abstract Background The aims of this bibliometric study were to determine author self-citation trends in high-impact orthodontic literature and to investigate possible association between self-citation and publication characteristics. Methods Six orthodontic journals with the highest impact factor as ranked by 2017 Journal Citation Reports were screened for a full publication year (2018) for original research articles, reviews, and case reports. Eligible articles were scrutinized for article and author characteristics and citation metrics. Univariable and multivariable negative binomial regression was used to examine associations between self-citation incidence and publication characteristics. Results Medians for author self-citation rate of the most self-citing authors and self-citations were 3.03% (range 0–50) and 1 (range 0–19), respectively. In the univariable analysis, there was no association between self-citation counts and study type (P = 0.41), article topic (P = 0.61), number of authors (P = 0.62), and rank of authors (P = 0.56). Author origin (P = 0.001), gender (P = 0.001) and journal (P = 0.05) were associated with self-citation counts and in the multivariable analysis only origin and gender remained strong self-citation predictors. Asian authors and females self-cited significantly less often than all other regions and male authors. Conclusions Authors in orthodontics do not self-cite at a frequency that suggests potential citation manipulation. Author origin and gender were the only variables associated with citations counts. More bibliometric research is necessary to draw solid conclusions about author self-citation trends in orthodontic literature.

Patient hospital experience and satisfaction on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subhajit Chakraborty ◽  
E. Mitchell Church
Keyword(s):  
Health Care ◽  
Social Media ◽  
Patient Satisfaction ◽  
Mixed Methods ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Health Service Delivery ◽  
Health Care Team ◽  
Care Team ◽  
Content Type

Purpose The purpose of this paper is to show the value of open-ended narrative patient reviews on social media for elucidating aspects of hospital patient satisfaction. Design/methodology/approach Mixed methods analyses using qualitative (manual content analyses using grounded theory and algorithmic analyses using the Natural Language Toolkit) followed by quantitative analyses (negative binomial regression). Findings Health-care team communication, health-care team action orientation and patient hospital room environment are positively related to patient hospital satisfaction. Patients form their hospital satisfaction perceptions based on the three facets of their hospital stay experience. Research limitations/implications In the spirit of continuous quality improvement, periodically analyzing patient social media comments could help health-care teams understand the patient satisfaction inhibitors that they need to avoid to offer patient-centric care. Practical implications By periodically analyzing patient social media comments hospital leaders can quickly identify the gaps in their health service delivery and plug them, which could ultimately give the hospital a competitive advantage. Originality/value To the best of the authors’ knowledge, this is one of the first studies to apply mixed methods to patient hospital review comments given freely on social media to critically understand what drives patient hospital satisfaction ratings.

Framing in Health Communication: Identifying the Factors That Influence the Re-posting of Social Media Messages during COVID-19 Outbreaks in China (Preprint)

2021 ◽  
Author(s):  
Jingzhong Xie ◽  
Jun Lai ◽  
Dongying Zhang
Keyword(s):  
Social Media ◽  
Health Communication ◽  
Health Information ◽  
Information Needs ◽  
Information Sources ◽  
Negative Binomial ◽  
Public Awareness ◽  
Public Health Agencies ◽  
Media Messages ◽  
Action Frame

BACKGROUND Social media has become an important tool to implement risk communication in COVID-19 pandemic, and made health information can gain more exposure by re-posting. OBJECTIVE This paper attempts to identify the factors associated with re-posting of social media messages about health information METHODS Content analysis was applied to scrutinize 4396 Weibo posts that were posted by national and provincial public health agencies Weibo accounts and identified features of information sources and information features, and adopted Zero-Inflated Negative Binomial (ZINB) model to analyze the association between these features and the frequency of message being re-posted. RESULTS Results showed that the followers and the governmental level of information sources are correlated with increased message reposting. The information features, such as hashtags#, picture, video, emotional(!), and the usage of severity, reassurance, efficacy and action frame were associated with increased message reposting behaviors, while hyperlink and usage of uncertainty frame correlated with reduced message reposting behaviors. CONCLUSIONS The features of health information sources, structures , style and content should be paid close attention by health organizations and medical professionals to satisfy the public’s information needs and preferences, promote the public's health engagement. Suitable information systems designing, and health communication strategies making during different stages of the pandemic may improve public awareness of the COVID-19, alleviate negative emotions, promote preventive measures to curb the spread of the virus.

scholarly journals Monophasic Synovial Sarcoma of the Infratemporal Fossa—Case Report and Review of the Literature

2017 ◽  
Vol 13 (01) ◽  
pp. 01
Author(s):  
Ignacio Mendoza ◽  
Ilson Sepúlveda ◽  
Geraldine Ayres ◽  
◽  
◽  
...  
Keyword(s):  
Case Report ◽  
Soft Tissue ◽  
South America ◽  
Head And Neck ◽  
Synovial Sarcoma ◽  
Infratemporal Fossa ◽  
Soft Tissue Sarcomas ◽  
Complete Resection ◽  
Review Of The Literature ◽  
Histological Features

Synovial sarcoma (SS) represents about 10% of all soft tissue sarcomas. It is believed that its origin would be found in cells that are related neither to ultrastructural nor to histological features of the synovial tissue. Head and neck is very rarely affected, with the lower extremities being most frequent. Complete resection with or without radiotherapy and chemotherapy is currently considered the best available therapy. This time we present the case of a patient with SS located in the infratemporal fossa, its diagnosis, treatment and evolution. According to our knowledge it is the first reported case in South America.

scholarly journals Intravitreal Angiostrongylus cantonensis: first case report in South America

2018 ◽  
Vol 81 (1) ◽  
Author(s):  
Gabriel Costa de Andrade ◽  
João Rafael de Oliveira Dias ◽  
André Maia ◽  
Liliane de Almeida Kanecadan ◽  
Nilva Simeren Bueno Moraes ◽  
...  
Keyword(s):  
Case Report ◽  
South America ◽  
Angiostrongylus Cantonensis ◽  
First Case

scholarly journals Editorial

in education ◽  
2009 ◽  
Vol 15 (2) ◽  
Author(s):  
Alec Couros
Keyword(s):  
Social Media ◽  
Open Access ◽  
Open Access Journal

An introduction to our Autumn 2009 issue of in education, a peer-reviewed, open access journal. This is also Part I of a two-part series focusing on Social Media & Technology.

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