Explore the vast range of titles available.

Adding to the power of the stand, the members of Te Poari had already adopted the 'paraikete whero' [red blanket] kaupapa - an initiative, started in Waitangi this year by wahine Maori. There was a \"real human cost\" to striking, and the nation could not afford a health system where patients were caught in the middle. [...]after wrapping up the speech, Brown walked out of a silent conference room - the audience standing and watching without applause as he left.

Abstract This paper identifies and analyzes salient research frontiers, research hotspots and high-frequency terms using aggregated and multiple-source literature records related to the topic of ‘effects of agricultural chemical inputs on the environment.’ We employ a set of Informetrics Theory methods (i.e. document co-citation analysis, document clustering and co-words analysis via co-occurrence network of subject terms) for our analysis. Our findings suggest that in the past 30 years, research about this topic can be divided into three stages, namely the early stage (1990–99), the middle stage (2000–07) and the late stage (2008–16). Research directions for the three identified stages deal primarily with (a) the effects of pesticides and veterinary drugs on the environment, (b) the influence of fertilizer application on the environment and food safety and (c) the technologies and strategies to monitor and control the impact of agricultural chemical inputs on the environment. Particularly, we find that research in the topic of interest primarily focusses on agricultural scenarios of food crop production and fish farming. In terms of agricultural chemical inputs, major attention is given to pesticides and fertilizers. With respect to the impact of agricultural inputs, pollutant formation and transferring process, nitrogen and phosphorous cycles, impact assessment indicators, as well as pollution prevention and reduction strategies are the most researched areas, and soil and water constitute the main researched environmental media. Finally, institutions and organization based in North America, East Asia and Europe are main research contributors on this topic.

Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysis involving techniques, methods, and applications have been produced using different survey methodologies and tools, but there has not been a survey dedicated to the evolution of research methods and topics of sentiment analysis. There have also been few survey works leveraging keyword co-occurrence on sentiment analysis. Therefore, this study presents a survey of sentiment analysis focusing on the evolution of research methods and topics. It incorporates keyword co-occurrence analysis with a community detection algorithm. This survey not only compares and analyzes the connections between research methods and topics over the past two decades but also uncovers the hotspots and trends over time, thus providing guidance for researchers. Furthermore, this paper presents broad practical insights into the methods and topics of sentiment analysis, while also identifying technical directions, limitations, and future work.

Category: Ankle; Hindfoot; Sports Introduction/Purpose: Achilles tendon injuries affect a wide range of individuals, including both recreational and competitive athletes. In the elite athlete population, Achilles tendon ruptures are typically season-ending injuries and can be career-threatening. Due to these impacts on individual players' careers as well as team success, Achilles tendon injuries often generate substantial discussion in the mainstream media and among the general public. However, traditional citation-based metrics fail to capture the dissemination of Achilles research that occurs outside the realm of scientific journal publications. Thus, the purpose of this study was to use the Altmetric Attention Score (AAS) to identify the 100 most impactful articles in online media pertaining to the Achilles tendon and assess their characteristics. Methods: The Altmetric database (Digital Science, Holtzbrinck Publishing) was queried to identify all published articles pertaining to the Achilles Tendon. The articles were stratified by highest to lowest AAS and the top 100 articles with the highest scores were included for analysis. Several data elements were extracted for each article: title, article type, article topic, year of publication, journal name, authors, institutional affiliations, and online mentions (i.e., the number of times the article was mentioned in news, blog, Twitter, Facebook and Wikipedia sources). The geographic origin of each article was also determined by the institutional affiliation of the first author, which was categorized as American (originating in the United States), European (originating in Europe), or Other. Linear regression was used to determine the relationship between online mentions and AAS. Results: The initial search yielded 3,810 articles published between 1957 and 2021. AAS of the top 100 articles ranged from 37 to 476 with a median of 65 (interquartile range: 42-110). The selected articles were published in 39 journals. The most prevalent article type was randomized controlled trial (21.8%), followed by systematic review / meta-analysis (13.9%). The most prevalent article topics were treatment (39.6%), rehabilitation and return to play (11.9%), epidemiology (11.9%), and biomechanics (11.9%). Of the top 100 articles, 25.0% were American, 45.0% were European, and 30.0% were published outside of the United States or Europe. AAS had a strong correlation to Twitter mentions (r = 0.81), a moderate correlation to Google Scholar mentions (r = 0.52), and a weak correlation to Facebook mentions (r = 0.49). Conclusion: This study used AAS to characterize the 100 most impactful Achilles articles in online media. As access to research continues to move away from the conventional printed format, it is critically important to understand how orthopaedic information is disseminated online. Our findings suggest that alternative metrics broaden the definition of article impact beyond what is provided by traditional citation-based metrics and should be considered as a supplemental means of assessing the overall impact of published scientific literature.

Currently, there is a growing interest in ensuring the transparency and reproducibility of the published scientific literature. According to a previous evaluation of 441 biomedical journals articles published in 2000-2014, the biomedical literature largely lacked transparency in important dimensions. Here, we surveyed a random sample of 149 biomedical articles published between 2015 and 2017 and determined the proportion reporting sources of public and/or private funding and conflicts of interests, sharing protocols and raw data, and undergoing rigorous independent replication and reproducibility checks. We also investigated what can be learned about reproducibility and transparency indicators from open access data provided on PubMed. The majority of the 149 studies disclosed some information regarding funding (103, 69.1% [95% confidence interval, 61.0% to 76.3%]) or conflicts of interest (97, 65.1% [56.8% to 72.6%]). Among the 104 articles with empirical data in which protocols or data sharing would be pertinent, 19 (18.3% [11.6% to 27.3%]) discussed publicly available data; only one (1.0% [0.1% to 6.0%]) included a link to a full study protocol. Among the 97 articles in which replication in studies with different data would be pertinent, there were five replication efforts (5.2% [1.9% to 12.2%]). Although clinical trial identification numbers and funding details were often provided on PubMed, only two of the articles without a full text article in PubMed Central that discussed publicly available data at the full text level also contained information related to data sharing on PubMed; none had a conflicts of interest statement on PubMed. Our evaluation suggests that although there have been improvements over the last few years in certain key indicators of reproducibility and transparency, opportunities exist to improve reproducible research practices across the biomedical literature and to make features related to reproducibility more readily visible in PubMed.

Scientific software is a fundamental player in modern science, participating in all stages of scientific knowledge production. Software occasionally supports the development of trivial tasks, while at other instances it determines procedures, methods, protocols, results, or conclusions related with the scientific work. The growing relevance of scientific software as a research product with value of its own has triggered the development of quantitative science studies of scientific software. The main objective of this study is to illustrate a link-based webometric approach to characterize the online mentions to scientific software across different analytical frameworks. To do this, the bibliometric software VOSviewer is used as a case study. Considering VOSviewer’s official website as a baseline, online mentions to this website were counted in three different analytical frameworks: academic literature via Google Scholar (988 mentioning publications), webpages via Majestic (1,330 mentioning websites), and tweets via Twitter (267 mentioning tweets). Google scholar mentions shows how VOSviewer is used as a research resource, whilst mentions in webpages and tweets show the interest on VOSviewer’s website from an informational and a conversational point of view. Results evidence that URL mentions can be used to gather all sorts of online impacts related to non-traditional research objects, like software, thus expanding the analytical scientometric toolset by incorporating a novel digital dimension.

About the Authors: John P. A. Ioannidis * E-mail: jioannid@stanford.edu Affiliations Department of Medicine, Stanford University, Stanford, California, United States of America, Department of Epidemiology and Population Health, Stanford University, Stanford, California, United States of America, Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America, Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America ORCID logo http://orcid.org/0000-0003-3118-6859 Kevin W. Boyack Affiliation: SciTech Strategies, Inc., Albuquerque, New Mexico, United States of America ORCID logo http://orcid.org/0000-0001-7814-8951 Jeroen Baas Affiliation: Research Intelligence, Elsevier B.V., Amsterdam, the Netherlands ORCID logo http://orcid.org/0000-0001-8005-4153 Citation: Ioannidis JPA, Boyack KW, Baas J (2020) Updated science-wide author databases of standardized citation indicators. [...]we have provided updated analyses that use citations from Scopus with data freeze as of May 6, 2020, assessing scientists for career-long citation impact up until the end of 2019 (Table-S6-career-2019) and for citation impact during the single calendar year 2019 (Table-S7-singleyr-2019). The formula to calculate the composite indicator for career-long impact is derived by summing the ratio of log of 1 + the indicator value over the maximum of those indicator logs for 6 indicators (NC, H, Hm, NCS, NCSF, NCSFL) [3]: The formula to calculate the composite indicator for single year 2019 impact follows the same principle and only uses citations from publications published in 2019.

In course of the organization of Workshop III entitled “Cited References Analysis Using CRExplorer” at the International Conference of the International Society for Scientometrics and Informetrics (ISSI2021), we have prepared three reference publication year spectroscopy (RPYS) analyses: (i) papers published in Journal of Informetrics; (ii) papers regarding the topic altmetrics; and (iii) papers published by Ludo Waltman (we selected this researcher because he received the Derek de Solla Price Memorial Medal during the ISSI2021 conference). The first RPYS analysis has been presented live at the workshop and the second and third RPYS analyses have been left to the participants for undertaking after the workshop. Here, we present the results for all three RPYS analyses. The three analyses have shown quite different seminal papers with a few overlaps. Many of the foundational papers in the field of scientometrics (e.g., distributions of publications and citations, citation network and co-citation analyses, and citation analysis with the aim of impact measurement and research evaluation) were retrieved as seminal papers of the papers published in Journal of Informetrics. Mainly papers with discussions of the deficiencies of citation-based impact measurements and comparisons between altmetrics and citations were retrieved as seminal papers of the topic altmetrics. The RPYS analysis of the paper set published by Ludo Waltman mainly retrieved papers about network analyses, citation relations, and citation impact measurement.