How do scientific papers with different levels of journals spread online? Exploring the temporal dynamics in the diffusion processes

Authors : Renmeng Cao, Xiaoke Xu, Yunxue Cui, Zhizhao Fang, Xianwen Wang

Social media has become an important channel for publicizing academic research, which provides an opportunity for each scientific paper to become a hit.

Employing a dataset of about 10 million tweets of 584,264 scientific papers from 2012 to 2018, this study investigates the differential diffusion of elite and non-elite journal papers (divided by Average journal impact factor percentile).

We find that non-elite journal papers are diffused deeper and farther than elite journal papers, showing a diffusion trend with multiple rounds, sparse, short-duration and small-scale bursts.

In contrast, the bursts of elite journals are characterized by a small number of persistent, dense and large-scale bursts. We also discover that elite journal papers are more inclined to broadcast diffusion while non-elite journal papers prefer viral diffusion.

Elite journal papers are generally disseminated to many loosely connected communities, while non-elite journal papers are diffused to several densely connected communities.

URL : https://arxiv.org/abs/2112.03506

Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

Authors : Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Nicolas Robinson-Garcia

Altmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions.

This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media.

This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology.

We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.

URL : Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

DOI : https://doi.org/10.1007/s11192-021-04167-8

The Use of Twitter by Medical Journals: Systematic Review of the Literature

Authors : Natalie Erskine, Sharief Hendricks

Background

Medical journals use Twitter to engage and disseminate their research articles and implement a range of strategies to maximize reach and impact.

Objective

This study aims to systematically review the literature to synthesize and describe the different Twitter strategies used by medical journals and their effectiveness on journal impact and readership metrics.

Methods

A systematic search of the literature before February 2020 in four electronic databases (PubMed, Web of Science, Scopus, and ScienceDirect) was conducted. Articles were reviewed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines.

Results

The search identified 44 original research studies that evaluated Twitter strategies implemented by medical journals and analyzed the relationship between Twitter metrics and alternative and citation-based metrics. The key findings suggest that promoting publications on Twitter improves citation-based and alternative metrics for academic medical journals.

Moreover, implementing different Twitter strategies maximizes the amount of attention that publications and journals receive. The four key Twitter strategies implemented by many medical journals are tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. Each strategy was successful in promoting the publications. However, different metrics were used to measure success.

Conclusions

Four key Twitter strategies are implemented by medical journals: tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. In this review, each strategy was successful in promoting publications but used different metrics to measure success.

Thus, it is difficult to conclude which strategy is most effective. In addition, the four strategies have different costs and effects on dissemination and readership. We recommend that journals and researchers incorporate a combination of Twitter strategies to maximize research impact and capture audiences with a variety of learning methods.

URL : The Use of Twitter by Medical Journals: Systematic Review of the Literature

DOI : https://doi.org/10.2196/26378

Claiming Credibility in Online Comments: Popular Debate Surrounding the COVID-19 Vaccine

Author : Ruth Breeze

At times of crisis, access to information takes on special importance, and in the Internet age of constant connectedness, this is truer than ever. Over the course of the pandemic, the huge public demand for constantly updated health information has been met with a massive response from official and scientific sources, as well as from the mainstream media. However, it has also generated a vast stream of user-generated digital postings.

Such phenomena are often regarded as unhelpful or even dangerous since they unwittingly spread misinformation or make it easier for potentially harmful disinformation to circulate. However, little is known about the dynamics of such forums or how scientific issues are represented there.

To address this knowledge gap, this chapter uses a corpus-assisted discourse approach to examine how “expert” knowledge and other sources of authority are represented and contested in a corpus of 10,880 reader comments responding to Mail Online articles on the development of the COVID-19 vaccine in February–July 2020.

The results show how “expert” knowledge is increasingly problematized and politicized, while other strategies are used to claim authority. The implications of these findings are discussed in the context of sociological theories, and some tentative solutions are proposed.

URL : Claiming Credibility in Online Comments: Popular Debate Surrounding the COVID-19 Vaccine

DOI : https://doi.org/10.3390/publications9030034

The Most Widely Disseminated COVID-19-Related Scientific Publications in Online Media: A Bibliometric Analysis of the Top 100 Articles with the Highest Altmetric Attention Scores

Authors : Ji Yoon Moon, Dae Young Yoon, Ji Hyun Hong, Kyoung Ja Lim, Sora Baek, Young Lan Seo, Eun Joo Yun

The novel coronavirus disease 2019 (COVID-19) is a global pandemic. This study’s aim was to identify and characterize the top 100 COVID-19-related scientific publications, which had received the highest Altmetric Attention Scores (AASs).

Hence, we searched Altmetric Explorer using search terms such as “COVID” or “COVID-19” or “Coronavirus” or “SARS-CoV-2” or “nCoV” and then selected the top 100 articles with the highest AASs. For each article identified, we extracted the following information: the overall AAS, publishing journal, journal impact factor (IF), date of publication, language, country of origin, document type, main topic, and accessibility.

The top 100 articles most frequently were published in journals with high (>10.0) IF (n = 67), were published between March and July 2020 (n = 67), were written in English (n = 100), originated in the United States (n = 45), were original articles (n = 59), dealt with treatment and clinical manifestations (n = 33), and had open access (n = 98).

Our study provides important information pertaining to the dissemination of scientific knowledge about COVID-19 in online media.

URL : The Most Widely Disseminated COVID-19-Related Scientific Publications in Online Media: A Bibliometric Analysis of the Top 100 Articles with the Highest Altmetric Attention Scores

DOI : https://doi.org/10.3390/healthcare9020239

How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications

Authors : Zhichao Fang, Rodrigo Costas, Wencan Tian, Xianwen Wang, Paul Wouters

To provide some context for the potential engagement behavior of Twitter users around science, this article investigates how Bitly short links to scientific publications embedded in scholarly Twitter mentions are clicked on Twitter.

Based on the click metrics of over 1.1 million Bitly short links referring to Web of Science (WoS) publications, our results show that around 49.5% of them were not clicked by Twitter users. For those Bitly short links with clicks from Twitter, the majority of their Twitter clicks accumulated within a short period of time after they were first tweeted.

Bitly short links to the publications in the field of Social Sciences and Humanities tend to attract more clicks from Twitter over other subject fields. This article also assesses the extent to which Twitter clicks are correlated with some other impact indicators.

Twitter clicks are weakly correlated with scholarly impact indicators (WoS citations and Mendeley readers), but moderately correlated to other Twitter engagement indicators (total retweets and total likes).

In light of these results, we highlight the importance of paying more attention to the click metrics of URLs in scholarly Twitter mentions, to improve our understanding about the more effective dissemination and reception of science information on Twitter.

URL : How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications

DOI : https://doi.org/10.1002/asi.24458

Social Media and Trust in Scientific Expertise: Debating the Covid-19 Pandemic in The Netherlands

Authors : José van Dijck, Donya Alinead

This article examines the role of social media dynamics in the public exchange of information between scientists (experts), government (policy-makers), mass media (journalists), and citizens (nonexperts) during the first 4 months after the Covid-19 outbreak in the Netherlands.

Over the past decade, the institutional model of science communication, based on linear vectors of information flows between institutions, has gradually converted into a networked model where social media propel information flows circulating between all actors involved.

The question driving our research is, “How are social media deployed to both undermine and enhance public trust in scientific expertise during a health crisis?” Analyzing the public debate during the period of the corona outbreak in the Netherlands, we investigate two stages: the emergency response phase and the “smart exit strategy” phase, discussing how scientific experts, policy-makers, journalists, and citizens appropriate social media logic to steer information and to control the debate.

We conclude by outlining the potential risks and benefits of adopting social media dynamics in institutional contexts of science communication.

URL : Social Media and Trust in Scientific Expertise: Debating the Covid-19 Pandemic in The Netherlands

DOI : https://doi.org/10.1177/2056305120981057