1,720,961 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Pharmacological and stem cell therapy of stroke in animal models: Do they accurately reflect the response of humans?
http://dx.doi.org/10.13039/501100013831 Universitatea de Medicina si Farmacie din Craiov
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Targeting the Biology of Aging in Cerebrovascular Disease: Inflammation, Metabolism, Senescence, and Regeneration
Aging is the strongest independent risk factor for cerebrovascular diseases, profoundly influencing vascular structure, immune responses, and regenerative capacity of the brain. Traditional therapeutic strategies, largely developed in younger populations, often show reduced efficacy and increased risk in elderly patients, underscoring the need for age-adapted interventions. Advances in the understanding of cerebrovascular aging have revealed key mechanisms such as vascular senescence, chronic low-grade inflammation, blood–brain barrier dysfunction, mitochondrial impairment, and circadian dysregulation as central drivers of disease progression and poor recovery. This narrative review summarizes emerging therapeutic strategies targeting the molecular and cellular hallmarks of aging-related cerebrovascular disease. These include immunomodulatory and anti-inflammatory approaches, senescence-targeted therapies, stem cell and extracellular vesicle-based regenerative strategies, RNA-based interventions, and metabolic and mitochondrial modulation. Particular emphasis is placed on therapies aimed at restoring neurovascular unit integrity and promoting brain repair in the aged microenvironment. Additionally, this review highlights the growing role of chronobiology and precision medicine, integrating biomarkers and multi-omics approaches to tailor treatments for elderly patients. Collectively, these emerging therapies represent a paradigm shift from symptom-oriented management toward mechanism-based and personalized interventions. Addressing age-specific pathophysiology will be critical for improving outcomes in cerebrovascular diseases in the aging population and for translating experimental advances into effective clinical therapies.European Union, under the PNRR Programme “Targeting Macrophages/Monocytes in the Aged Ischemic Brain by Pharmacological, Genetic, and Cell-Based Tools,”UEFISCDI Projec
Biomarkers of cognitive and memory decline in psychotropic drug users
Abstract Psychotropic drugs are vital in psychiatry, aiding in the management of mental health disorders. Their use requires an understanding of their pharmacological properties, therapeutic applications, and potential side effects. Ongoing research aims to improve their efficacy and safety. Biomarkers play a crucial role in understanding and predicting memory decline in psychotropic drug users. A comprehensive understanding of biomarkers, including neuroimaging, biochemical, genetic, and cognitive assessments, is essential for developing targeted interventions and preventive strategies. In this narrative review, we performed a comprehensive search on PubMed and Google using review-specific terms. Clinicians should use a multifaceted approach, including neurotransmitter analysis, neurotrophic factors, miRNA profiling, and cognitive tasks for early intervention and personalized treatment. Anxiolytics' mechanisms involve various neurotransmitter systems and emerging targets. Research on biomarkers for memory decline in anxiolytic users can lead to early detection and intervention, enhancing clinical practices and aligning with precision medicine. Mood stabilizer users can benefit from early detection of memory decline through RNA, neurophysiological, and inflammatory biomarkers, promoting timely interventions. Performance-enhancing drugs may boost athletic performance in the short term, but their long-term health risks and ethical issues make their use problematic. Long-term use of psychotropic performance enhancers in athletes shows changes in biomarkers of cognitive decline, necessitating ongoing monitoring and intervention strategies. Understanding these genetic influences on memory decline helps pave the way for personalized approaches to prevent or mitigate cognitive deterioration, emphasizing the importance of genetic screening and early interventions based on an individual's genetic profile. Future research should focus on refining these biomarkers and protective measures against cognitive deterioration. Overall, a comprehensive understanding of biomarkers in psychotropic drug users is essential for developing targeted interventions and preventive strategies
Regulation of circadian gene activity in fibroblasts from ADHD patients through Rosiglitazone: a pilot study
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