The impact of Twitter/X promotion on visibility of research articles: Results of the #TweetTheJournal study.

Aim: Social media (SoMe) are emerging as important tools for research dissemination. Twitter/X promotion has been shown to increase citation rates in well-established journals. We aimed to test the effect of a SoMe promotion strategy on the Mendeley reader counts, the Altmetric Attention Score and the number of citations in an upcoming open-access journal. Methods: The #TweetTheJournal study is a randomized, controlled study. Articles published in seven subsequent issues of the International Journal of Cardiology Heart & Vasculature (April 2021-April 2022) were randomized to a Twitter/X promotion arm (articles were posted four times) and to a control arm (without active posting). Articles with accompanied editorials were excluded. Primary endpoint of the study was Mendeley reader count, secondary endpoints were Altmetric Attention Score and number of citations. Follow-up was one year. Results: SoMe promotion of articles showed no statistically significant difference in Mendeley reader counts or number of citations at one year follow up. SoMe promotion resulted in a statistically significant higher Altmetric Attention Score in the intervention compared to the control group (RR 1.604, 95 % CI 1.024-2.511, p = 0.039). In the overall group, Altmetric Attention Score showed a correlation with Mendeley reader counts (Spearman's ρ = 0.202, p = 0.010) and Mendeley reader counts correlated significantly with number of citations (Spearman's ρ = 0.372, p < 0.001). Conclusion: A dedicated SoMe promotion strategy did not result in statistically significant differences in early impact indicators as the Mendeley reader count in a upcoming journal, but increased the Altmetric Attention Score.

Leishmania infantum (JPCM5) Transcriptome, Gene Models and Resources for an Active Curation of Gene Annotations.

Leishmania infantum is one of the causative agents of visceral leishmaniases, the most severe form of leishmaniasis. An improved assembly for the L. infantum genome was published five years ago, yet delineation of its transcriptome remained to be accomplished. In this work, the transcriptome annotation was attained by a combination of both short and long RNA-seq reads. The good agreement between the results derived from both methodologies confirmed that transcript assembly based on Illumina RNA-seq and further delimitation according to the positions of spliced leader (SAS) and poly-A (PAS) addition sites is an adequate strategy to annotate the transcriptomes of Leishmania, a procedure previously used for transcriptome annotation in other Leishmania species and related trypanosomatids. These analyses also confirmed that the Leishmania transcripts boundaries are relatively slippery, showing extensive heterogeneity at the 5'- and 3'-ends. However, the use of RNA-seq reads derived from the PacBio technology (referred to as Iso-Seq) allowed the authors to uncover some complex transcription patterns occurring at particular loci that would be unnoticed by the use of short RNA-seq reads alone. Thus, Iso-Seq analysis provided evidence that transcript processing at particular loci would be more dynamic than expected. Another noticeable finding was the observation of a case of allelic heterozygosity based on the existence of chimeric Iso-Seq reads that might be generated by an event of intrachromosomal recombination. In addition, we are providing the L. infantum gene models, including both UTRs and CDS regions, that would be helpful for undertaking whole-genome expression studies. Moreover, we have built the foundations of a communal database for the active curation of both gene/transcript models and functional annotations for genes and proteins.

Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status.

The study of temporal trends in altmetrics is under-developed, and this multi-year observation study addresses some of the deficits in our understanding of altmetric behaviour over time. The attention surrounding research outputs, as partially captured by altmetrics, or alternative metrics, constitutes many varied forms of data. Over the years 2008-2013, a set of 7739 papers were sampled on six occasions. Five altmetric data sources were recorded (Twitter, Mendeley, News, Blogs and Policy) and analysed for temporal trends, with particular attention being paid to their Open Access status and discipline. Twitter attention both starts and ends quickly. Mendeley readers accumulate quickly, and continue to grow over the following years. News and blog attention is quick to start, although news attention persists over a longer timeframe. Citations in policy documents are slow to start, and are observed to be growing over a decade after publication. Over time, growth in Twitter activity is confirmed, alongside an apparent decline in blogging attention. Mendeley usage is observed to grow, but shows signs of recent decline. Policy attention is identified as the slowest form of impact studied by altmetrics, and one that strongly favours the Humanities and Social Sciences. The Open Access Altmetrics Advantage is seen to emerge and evolve over time, with each attention source showing different trends. The existence of late-emergent attention in all attention sources is confirmed.

Knowledge management in the classroom using Mendeley technology.

Research in higher education institutions is present in all courses, and academic instruction in research methodology is vital, with educational technologies being an essential component of this process. With the Covid-19 pandemic, there were changes in teaching, learning, and in performing scientific research in undergraduate courses. Among the technologies, the Mendeley reference management tool has become increasingly helpful in these contexts. Therefore, this manuscript is an account of workshop experiences for the use of the Mendeley tool in the teaching of Research Methodology and Scientific Methodology offered in the distance education modality in undergraduate courses at the Universidade do Contestado, Brazil. After basic instruction on Mendeley, students participating in the workshops were guided to apply the tool using Bardin's content analysis technique. This technique is usually laborious and seldom involved in literature reviews by undergraduate students; Mendeley technology makes it more accessible. From experiences with the 2020 and 2021 workshops, during the COVID-19 pandemic, it is suggested that the content analysis method combined with the Mendeley technology can help students present better literature reviews, especially for final graduation projects such as course completion monographs.

Why does library holding format really matter for book impact assessment?: Modelling the relationship between citations and altmetrics with print and electronic holdings.

Scholarly books are important outputs in some fields and their many publishing formats seem to introduce opportunities to scrutinize their impact. As there is a growing interest in the publisher-enforced massive collection of ebooks in libraries in the past decade, this study examined how this influences the relationship that library print holdings (LPH), library electronic holdings (LEH) and total library holdings (TLH) have with other metrics. As a follow up study to a previous research on OCLC library holdings, the relationship between library holdings and twelve other metrics including Scopus Citations, Google Books (GB) Citations, Goodreads engagements, and Altmetric indicators were examined for 119,794 Scopus-indexed book titles across 26 fields. Present study confirms the weak correlation levels observed between TLH and other indicators in previous studies and contributes additional evidence that print holdings can moderately reflect research, educational and online impact of books consistently more efficient than eholdings and total holdings across fields and over time, except for Mendeley for which eholdings slightly prevailed. Regression models indicated that along with other dimensions, Google Books Citations frequently best explained LPH (in 14 out of 26 fields), whereas Goodreads User counts were weak, but the best predictor of both LEH and TLH (in 15 fields out of 26), suggesting significant association of eholdings with online uptake of books. Overall, findings suggest that inclusion of eholdings overrides the more impactful counts of print holdings in Total Library Holdings metric and therefore undermines the statistical results, whilst print holdings has both statistically and theoretically promising underlying assumptions for prediction of impact of books and shows greater promise than the general Library Holding metric for book impact assessment. Thus, there is a need for a distinction between print and electronic holding counts to be made, otherwise total library holding data need to be interpreted with caution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-04239-9.

The dissemination of brain imaging guidelines and recommendations.

Many neuroimaging guidelines and recommendations have been published in the literature to guide fellow researchers to conduct and report research findings in a standardized manner. It was largely unknown if they were cited or read by the scientific community. Analyses were conducted to assess their impact in terms of citations, Twitter posts, and Mendeley reads. Web of Science Core Collection database was accessed to identify relevant publications. The number of their Twitter posts and Mendeley reads were recorded from Altmetric and Mendeley databases respectively. Spearman correlation tests were conducted to evaluate if the citation count had a relationship with these metrics. When all 1786 publications were considered, citation count had a strong positive correlation with Mendeley reads (rho = 0.602, p < 0.001), but a weak negative correlation with Twitter posts (rho = -0.085, p < 0.001). When publications in the 2010 s were specifically considered, citation count had an even stronger positive correlation with Mendeley reads (rho = 0.712, P < 0.001), whereas the correlation with Twitter posts became positive but still weak (rho = 0.072, P = 0.012). Temporal profiles of citation and Mendeley counts showed that these guidelines and recommendations had a relatively stable influence in the field for years after being published.

Influência das métricas de mídias sociais nas citações dos periódicos brasileiros de Enfermagem indexados na Scopus / The influence of social media metrics on citations of brazilian nursing journals

O uso de mídias sociais por pesquisadores, instituições, publicações e público em geral, assim como a adoção da altmetria para aferição de impacto de produtos científicos em diferentes plataformas online, vem ao encontro do que preconizam as novas propostas para a comunicação científica. A Enfermagem possui uma produção científica por vezes mais acessível à sociedade o que lhe permite alcançar um público mais amplo e diversificado, por vezes não acadêmico, que acessa, lê e discute temas que muitas vezes fazem parte do seu cotidiano. A tese justifica-se pela carência de estudos brasileiros sobre o uso de modelos, métodos e técnicas estatísticas para medir os efeitos da relação e da possibilidade de usar métricas de mídias sociais para prever o volume de citações de artigos científicos da Enfermagem. Estudo exploratório e de abordagem quantitativa que analisa o efeito das interações em mídias sociais nas citações de 4.776 artigos publicados em onze periódicos brasileiros do campo da Enfermagem indexados na Scopus no período de 2015 a 2019. Os dados de impacto sobre os artigos no Mendeley, Twitter e Facebook, foram fornecidos pela PlumX. Também foram coletados dados altmétricos do corpus nas contas das revistas no Facebook e no Twitter. Para predição de resultados foi utilizado o modelo de regressão Binomial Negativo devido à natureza dos dados disponíveis. Foi observado que 99% do corpus estava coberto no Mendeley, 19,6% no Facebook e 12,6% no Twitter. Foi verificada uma correlação moderada (rs = 0,591, p < 0,05) entre o volume de leitores no Mendeley e o volume de citações na Scopus Os resultados demonstraram uma correlação nula entre as interações recebidas pelos artigos no Facebook (rs = - 0,129, p < 0,05) e no Twitter (rs = 0,141, p < 0,05) com as citações recebidas pelos artigos na Scopus. O modelo de regressão demonstrou que para cada aumento no número leitores em um artigo no Mendeley, mantendo-se outros parâmetros fixos, tem-se um aumento aproximado de 0,7% no número de citações deste artigo na Scopus. Já para cada aumento na variável ano, mantendo os outros parâmetros fixos, tem-se aproximadamente 39,8% de aumento no número de citações recebidas por um artigo na Scopus. Foram postados no Facebook pelos periódicos da Enfermagem 31,3% dos artigos publicados em 2019. O modelo de regressão demonstrou que para cada aumento no número de interações em um artigo no Facebook, mantendose os outros parâmetros fixos, tem-se um aumento médio de 2,2% no número de citações na Scopus. Foram divulgados no Twitter 16,9% dos artigos publicados pelos periódicos em 2019. Ficou evidenciada a natureza díspar do tipo de impacto que é mensurado pelas métricas tradicionais, baseadas em citações, e as métricas alternativas, percebidas em mídias sociais. Reafirma-se o que já foi exposto na literatura: a altmetria pode ser utilizada para complementar, mas não para substituir, o impacto medido pelas métricas tradicionais baseadas em citações formais, permitindo observar de forma mais ampliada como se dão os processos da comunicação científica em ambientes online informais.

The use of social media by researchers, institutions, publications and the general public, as well as the adoption of altmetrics to measure the impact of scientific products on different online platforms, is in line with the new proposals for scientific communication. Nursing has a scientific production that is sometimes more accessible to society, which makes it possible to reach a broader and more varied audience, sometimes non-academic, that accesses, reads and discusses topics that are often part of their daily lives. The dissertation is justified by the lack of Brazilian studies about the use of models, methods and statistical techniques to measure the effects of the relationship and the possibility of using social media metrics to predict the amount of citations of scientific articles in Nursing. This is an exploratory study with a quantitative approach, which analyzes the effect of interactions in social media on the citations of 4,776 articles published in eleven Nursing Brazilian journals indexed in Scopus from 2015 to 2019. PlumX provided the impact of data sharing on articles on Mendeley, Twitter and Facebook. Besides, we collected altmetric data of the corpus on Facebook and Twitter accounts of the journals. To predict the results, we used the Negative Binomial regression model due to the nature of the available data. We found that Mendeley covers 99% of the corpus; Facebook, 19.6% and Twitter, 12.6%. We found a moderate correlation (rs = 0.591, p < 0.05) between the amount of Mendeley readers and the amount of Scopus citations. The results showed a null correlation between the interactions received by the articles on Facebook (rs = - 0.129, p < 0.05) and on Twitter (rs = 0.141, p < 0.05) with the citations received by the articles in Scopus. The regression model showed that for each increase in the number of readers of an article on Mendeley, other parameters remaining fixed, there is an approximate increase of 0.7% in the number of citations of this article in Scopus. For each increase in the variable 'year', other parameters remaining fixed, there is an increase of approximately 39.8% in the number of citations received by an article in Scopus. Nursing journals posted on Facebook 31.3% of the articles published in 2019. The regression model showed that for each increase in the number of interactions in an article on Facebook, other parameters remaining fixed, there is an average increase of 2.2% in the number of citations in Scopus. Twitter posted 16.9% of the articles published by journals in 2019. It is evident the unequal nature of the type of impact that is measured by traditional metrics, based on citations, and alternative metrics, noticed on social media. We reaffirm what literature has already exposed: altmetrics can be used to complement, but not to replace, the impact measured by traditional metrics based on formal citations, allowing a broader perspective of how scientific communication processes take place in informal online environments.

Recent trends in the use of social media in parasitology and the application of alternative metrics.

In recent times, the use of social media for the dissemination of "news and views" in parasitology has increased in popularity. News, Twitter and Blogs have emerged as commonplace vehicles in the knowledge dissemination and transfer process. Alternative metrics ("altmetrics"), based on social media mentions have been proposed as a measure of societal impact, although firm evidence for this relationship is yet to be found. Nevertheless, increasing amounts of data on "altmetrics" are being analysed to identify the nature of the unknown impact that social media is generating. Here, we examine the recent, and increasing use of social media in the field of parasitology and the relationship of "altmetrics" with more traditional bibliometric indicators, such as article citations and journal metrics. The analyses document the rise and dominance of Twitter as the main form of social media occurring in the discipline of parasitology and note the contribution to this trend of Twitter bots that automatically tweet about publications. We also report on the use of the social referencing platform Mendeley and its correlation to article citations; Mendeley reader numbers are now considered to provide firm evidence on the early impact of research. Finally, we consider the Twitter profile of 31 journals publishing parasitology research articles (by volume of papers published); we show that 13 journals are associated with prolific Twitter activity about parasitology. We hope this study will stimulate not only the continued and responsible use of social media to disseminate knowledge about parasitology for the greater good, but also encourage others to further investigate the impact and benefits that altmetrics may bring to this discipline.

Facial Plastic Surgery Journals: Understanding Their Relevance and Getting Published.

This article seeks to inform facial plastic surgeons about the evolving issues that affect contemporary medical literature and the publishing landscape. We hope to shed light on the key metrics that influence a journal's decision to accept a particular submission and how these metrics are predicated on a rapidly changing landscape within the academic and public community. The key metrics are: citations, number of views, and social media or public attention. These metrics produce what we call "high impact" articles. This article introduces bibliometric terms and further defines the metrics that are most important to a journal.

The online attention to orthodontic research: an Altmetric analysis of the orthodontic journals indexed in the journal citation reports from 2014 to 2018.

BACKGROUND: To describe the impact of research, beyond the limits of the academic environment, Altmetric, a new social and traditional media metric was proposed. The aims of this study were to analyze the online activity related to orthodontic research via Altmetric and to assess if a correlation exists among citations, Mendeley reader count, and the AAS (Altmetric Attention Score). METHOD: The Dimensions App was searched for articles published in the orthodontic journals listed in the Journal Citation Reports (JCR) throughout the years 2014 to 2018. The articles with a positive AAS were collected and screened for data related to publication and authorship. The articles with an AAS higher than 5 were screened for research topic and study design. Citation counts were harvested from Web of Science (WOS) and Scopus. RESULTS: The best performing journals were Progress in Orthodontics and the European Journal of Orthodontics with a mean AAS per published item of 1.455 and 1.351, respectively and the most prevalent sources were Tweets and Facebook mentions. The most prevalent topic was Oral Health-Related Quality of Life (OHRQOL) and the study design was systematic reviews. The correlation between the AAS and the citations in both WOS and Scopus was poor (r = 0.1463 and r = 0.1508, p < .05). The correlation between citations count and Mendeley reader (r = 0.6879 and r = 0.697, p < .05) was moderate. CONCLUSIONS: Few journals displayed a high level of web activity. Journals and editors should enhance online dissemination of the scientific outputs. The authors should report the impact of the findings to the general public in a convenient way to facilitate online dissemination but to avoid an opportunistic use of the research outputs. Despite the lack of correlation, a combination of the citation count and the AAS can give a more comprehensive assessment of research impact.

Effective automated method for detection and suppression of muscle artefacts from single-channel EEG signal.

This Letter proposes an automated method for the detection and suppression of muscle artefacts (MAs) in the single-channel electroencephalogram (EEG) signal based on variational mode decomposition (VMD) and zero crossings count threshold criterion without the use of reference electromyogram (EMG). The proposed method involves three major steps: decomposition of the input EEG signal into two modes using VMD; detection of MAs based on zero crossings count thresholding in the second mode; retention of the first mode as MAs-free EEG signal only after detection of MAs in the second mode. The authors evaluate the robustness of the proposed method on a variety of EEG and EMG signals taken from publicly available databases, including Mendeley database, epileptic Bonn database and EEG during mental arithmetic tasks database (EEGMAT). Evaluation results using different objective performance metrics depict the superiority of the proposed method as compared to existing methods while preserving the clinical features of the reconstructed EEG signal.

Reference Managers that Support Collaborative Research: Dreaming of the Perfect Fit.

Reference or citation managers aid in capturing and managing citations and associated full text, tracking references and citing them properly in manuscripts, and creating bibliographies. With more features than ever, selecting the most appropriate reference manager can be overwhelming for users and librarians. One common situation in which librarians are asked for advice involves building shared libraries of references to support collaborative group work. This project developed a structured evaluation for comparison of several common citation managers and prototypical use cases to help match features with user needs, preferences, and workflows. As products evolve and needs change, is there a "perfect fit"?

Do highly cited clinicians get more citations when being present at social networking sites?

BACKGROUND AND AIMS: The advent of social networking sites has facilitated the dissemination of scientific research. This article aims to investigate the presence of Iranian highly cited clinicians in social networking sites. MATERIALS AND METHODS: This is a scientometrics study. Essential Science Indicator (ESI) was searched for Iranian highly cited papers in clinical medicine during November-December 2015. Then, the authors of the papers were checked and a list of authors was obtained. In the second phase, the authors' names were searched in the selected social networking sites (ResearchGate [RG], Academia, Mendeley, LinkedIn). The total citations and h-index in Scopus were also gathered. RESULTS: Fifty-five highly cited papers were retrieved. A total of 107 authors participated in writing these papers. RG was the most popular (64.5%) and LinkedIn and Academia were in 2nd and 3rd places. None of the authors of highly cited papers were subscribed to Mendeley. A positive direct relationship was observed between visibility at social networking sites with citation and h-index rate. A significant relationship was observed between the RG score, citations, reads indicators in RG, and citation numbers and there was a significant relationship between the number of document indicator in Academia and the citation numbers. CONCLUSION: It seems putting the papers in social networking sites can influence the citation rate. We recommend all scientists to be present at social networking sites to have better chance of visibility and also citation.

Online distribution channel increases article usage on Mendeley: a randomized controlled trial.

Prior research shows that article reader counts (i.e. saves) on the online reference manager, Mendeley, correlate to future citations. There are currently no evidenced-based distribution strategies that have been shown to increase article saves on Mendeley. We conducted a 4-week randomized controlled trial to examine how promotion of article links in a novel online cross-publisher distribution channel (TrendMD) affect article saves on Mendeley. Four hundred articles published in the Journal of Medical Internet Research were randomized to either the TrendMD arm (n = 200) or the control arm (n = 200) of the study. Our primary outcome compares the 4-week mean Mendeley saves of articles randomized to TrendMD versus control. Articles randomized to TrendMD showed a 77% increase in article saves on Mendeley relative to control. The difference in mean Mendeley saves for TrendMD articles versus control was 2.7, 95% CI (2.63, 2.77), and statistically significant (p < 0.01). There was a positive correlation between pageviews driven by TrendMD and article saves on Mendeley (Spearman's rho r = 0.60). This is the first randomized controlled trial to show how an online cross-publisher distribution channel (TrendMD) enhances article saves on Mendeley. While replication and further study are needed, these data suggest that cross-publisher article recommendations via TrendMD may enhance citations of scholarly articles.

Evaluation of Scientific Outputs of Kashan University of Medical Sciences in Scopus Citation Database based on Scopus, ResearchGate, and Mendeley Scientometric Measures.

INTRODUCTION: It is essential to evaluate the impact of scientific publications through citation analysis in citation indexes. In addition, scientometric measures of social media also should be assessed. These measures include how many times the publications were read, viewed, and downloaded. The present study aimed to assess the scientific output of scholars at Kashan University of Medical Sciences by the end of March 2014 based on scientometric measures of Scopus, ResearchGate, and Mendeley. METHODS: A survey method was used to study the articles published in Scopus journals by scholars at Kashan University of Medical Sciences by the end of March 2014. The required data were collected from Scopus, ResearchGate, and Mendeley. The data were analyzed with descriptive statistics. Also, the Spearman correlation was used between the number of views of articles in ResearchGate with citation number of the articles in Scopus and reading frequency of the articles in Mendeley with citation number in Scopus were examined using the Spearman correlation in SPSS 16. RESULTS: Five-hundred and thirty-three articles were indexed in the Scopus Citation Database by the end of March 2014. Collectively, those articles were cited 1,315 times. The articles were covered by ResearchGate (74%) more than Mendeley (44%). In addition, 98% of the articles indexed in ResearchGate and 92% of the articles indexed in Mendeley were viewed at least once. The results showed that there was a positive correlation between the number of views of the articles in ResearchGate and Mendeley and the number of citations of the articles in Scopus. CONCLUSION: Coverage and the number of visitors were higher in ResearchGate than in Mendeley. The increase in the number of views of articles in ResearchGate and Mendeley also increased the number of citations of the papers. Social networks, such as ResearchGate and Mendeley, also can be used as tools for the evaluation of academics and scholars based on the scientific research they have conducted.

Comparative analysis of reference management software / 中华医学图书情报杂志

After a description of the 6 types of reference management software ( EndNote, Mendeley, F1000Workspace, NoteExpress, King of medical literature and NoteFirst), their basic functions were comparatively analyzed.

A guide for using social media in environmental science and a case study by the Students of SETAC.

BACKGROUND: In the past few years, the use of social media has gradually become an important part of our daily lives. While some might see this as a threat to our productivity or as a source of procrastination, social media as a whole have unquestionably changed the way in which information and knowledge disseminate in our society. SOCIAL MEDIA GUIDE: This article is meant to serve as a guide for scientists who would like to establish their online presence and includes an outline of the benefits of using social media as well as strategies for establishing and improving your presence in social media. Environmental scientists in particular can benefit enormously from this approach, since this field of science deals with topics that directly impact our daily lives. CASE STUDY: To highlight these approaches for our fellow scientists in the field of environmental science and toxicology and in order to better engage with our own peers, we describe the outreach methods used by the student advisory councils of the Society of Environmental Toxicology and Chemistry (SETAC) and how we have worked towards an improved social media presence. In this article we present our initiatives to increase social media usage and engagement within SETAC. This includes joint social media accounts organized by the SETAC student advisory councils from various SETAC geographical units. We also led a course on social media usage at the SETAC Nashville meeting in 2013 and are currently developing other outreach platforms, including high school student-oriented science education blogs. CONCLUSION: The Students of SETAC will continue to increase communication with and among SETAC students on a global level and promote the use of social media to communicate science to a wide variety of audiences.