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Twitter has arguably been the most popular among the data sources that form the basis of so-called altmetrics. Tweets to scholarly documents have been heralded as both early indicators of citations as well as measures of societal impact.…

社会与信息网络 · 计算机科学 2018-06-27 Stefanie Haustein

In the context of altmetrics, tweets have been discussed as potential indicators of immediate and broader societal impact of scientific documents. However, it is not yet clear to what extent Twitter captures actual research impact. A small…

数字图书馆 · 计算机科学 2015-07-09 Natalie Friedrich , Timothy D. Bowman , Wolfgang G. Stock , Stefanie Haustein

Twitter has been identified as one of the most popular and promising altmetrics data sources, as it possibly reflects a broader use of research articles by the general public. Several factors, such as document age, scientific discipline,…

数字图书馆 · 计算机科学 2015-07-02 Jens Peter Andersen , Stefanie Haustein

Purpose: This paper explores some influencing factors of Twitter mentions of scientific research. The results can help to understand the relationships between various altmetrics. Design/methodology/approach: Data on research mentions in…

数字图书馆 · 计算机科学 2022-12-13 Pablo Dorta-González

Social media metrics - commonly coined as "altmetrics" - have been heralded as great democratizers of science, providing broader and timelier indicators of impact than citations. These metrics come from a range of sources, including…

数字图书馆 · 计算机科学 2015-05-05 Stefanie Haustein , Cassidy R. Sugimoto , Vincent Larivière

Metrics derived from Twitter and other social media---often referred to as altmetrics---are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the…

数字图书馆 · 计算机科学 2017-04-17 Qing Ke , Yong-Yeol Ahn , Cassidy R. Sugimoto

Today, it is not clear how the impact of research on other areas of society than science should be measured. While peer review and bibliometrics have become standard methods for measuring the impact of research in science, there is not yet…

数字图书馆 · 计算机科学 2014-09-11 Lutz Bornmann

A set of 1.4 million biomedical papers was analyzed with regards to how often articles are mentioned on Twitter or saved by users on Mendeley. While Twitter is a microblogging platform used by a general audience to distribute information,…

数字图书馆 · 计算机科学 2014-10-03 Stefanie Haustein , Vincent Larivière , Mike Thelwall , Didier Amyot , Isabella Peters

This article aims to exploit social exchanges on scientific literature, specifically tweets, to analyse social media users' sentiments towards publications within a research field. First, we employ the SentiStrength tool, extended with…

社会与信息网络 · 计算机科学 2020-09-01 Saeed-Ul Hassan , Naif Radi Aljohani , Usman Iqbal Tarar , Iqra Safder , Raheem Sarwar , Salem Alelyani , Raheel Nawaz

Many altmetric studies analyze which papers were mentioned how often in specific altmetrics sources. In order to study the potential policy relevance of tweets from another perspective, we investigate which tweets were cited in papers. If…

数字图书馆 · 计算机科学 2020-03-26 Robin Haunschild , Lutz Bornmann

Sufficient data presence is one of the key preconditions for applying metrics in practice. Based on both Altmetric.com data and Mendeley data collected up to 2019, this paper presents a state-of-the-art analysis of the presence of 12 kinds…

数字图书馆 · 计算机科学 2020-06-24 Zhichao Fang , Rodrigo Costas , Wencan Tian , Xianwen Wang , Paul Wouters

Twitter bots are a controversial element of the platform, and their negative impact is well known. In the field of scientific communication, they have been perceived in a more positive light, and the accounts that serve as feeds alerting…

数字图书馆 · 计算机科学 2023-10-20 Wenceslao Arroyo-Machado , Enrique Herrera-Viedma , Daniel Torres-Salinas

With the remarkable capability to reach the public instantly, social media has become integral in sharing scholarly articles to measure public response. Since spamming by bots on social media can steer the conversation and present a false…

社会与信息网络 · 计算机科学 2024-10-04 Ashiqur Rahman , Ehsan Mohammadi , Hamed Alhoori

In recent years researchers have gravitated to social media platforms, especially Twitter, as fertile ground for empirical analysis of social phenomena. Social media provides researchers access to trace data of interactions and discourse…

物理与社会 · 物理学 2023-01-05 Peter Cihon , Taha Yasseri

Measuring research impact is important for ranking publications in academic search engines and for research evaluation. Social media metrics or altmetrics measure the impact of scientific work based on social media activity. Altmetrics are…

社会与信息网络 · 计算机科学 2018-04-10 Maryam Mehrazar , Christoph Carl Kling , Steffen Lemke , Athanasios Mazarakis , Isabella Peters

In this paper we review the socalled altmetrics or alternative metrics. This concept raises from the development of new indicators based on Web 2.0, for the evaluation of the research and academic activity. The basic assumption is that…

数字图书馆 · 计算机科学 2013-06-28 Daniel Torres-Salinas , Alvaro Cabezas-Clavijo , Evaristo Jimenez-Contreras

This paper analyzes the tweeting behavior of 37 astrophysicists on Twitter and compares their tweeting behavior with their publication behavior and citation impact to show whether they tweet research-related topics or not. Astrophysicists…

数字图书馆 · 计算机科学 2014-10-08 Stefanie Haustein , Timothy D. Bowman , Kim Holmberg , Isabella Peters , Vincent Larivière

Altmetrics are tools for measuring the impact of research beyond scientific communities. In general, they measure online mentions of scholarly outputs, such as on online social networks, blogs, and news sites. Some stakeholders in higher…

数字图书馆 · 计算机科学 2021-12-20 Grischa Fraumann

This paper investigates the stability of Twitter counts of scientific publications over time. For this, we conducted an analysis of the availability statuses of over 2.6 million Twitter mentions received by the 1,154 most tweeted scientific…

数字图书馆 · 计算机科学 2020-02-25 Zhichao Fang , Jonathan Dudek , Rodrigo Costas

We measure the impact of "altmetrics" field by deploying altmetrics indicators using the data from Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki during 2010- 2014. To capture the social impact of…

社会与信息网络 · 计算机科学 2016-03-28 Saeed-Ul Hassan , Uzair Ahmed Gillani
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