Archives des mots-clés : social media

Are patents linked on Twitter? A case study of Google patents

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Authors : Enrique Orduña‑Malea, Cristina I. Font‑Julián

This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).

Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: tweets linking to patents, users linking to patents, and patents linked from Twitter.

To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015.

The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation.

The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors.

However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.

URL : Are patents linked on Twitter? A case study of Google patents

DOI : https://doi.org/10.1007/s11192-022-04519-y

Le « cas Raoult » ou la controverse médicale amplifiée par l’influence personnelle

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Auteur-ices/Authors : Stéphanie Lukasik, Marc Bassoni

La controverse médicale incarnée en France par le Professeur Didier Raoult a constitué un enjeu communicationnel inédit durant la pandémie de Covid-19. Surmédiatisé, le cadre traditionnel des controverses scientifiques a basculé vers l’espace socionumérique des confrontations d’opinions tranchées et des polémiques propices aux fake news et à la « ré-information ».

Dans un premier temps, les auteurs explicitent la stratégie de communication « directe » adoptée par le professeur Raoult. Dans un deuxième temps, à partir de la page Facebook intitulée « Didier Raoult officiel », les auteurs procèdent à une comptabilité des interactions induites, durant trois mois, par les posts opérés sur ladite page.

Enfin, dans un troisième temps, en examinant le partage de contenus opéré par des usagers-récepteurs de cette page, les auteurs mettent en lumière certains éléments d’homophilie au sein des groupes ainsi constitués.

DOI : https://doi.org/10.4000/communication.15107

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

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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

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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

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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

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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

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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