• Konspekt
• Lékařské vědy. Lékařství
• NLK Obory
• fyziologie
• pneumologie a ftizeologie

Bibliometric indicators increasingly affect careers, funding, and reputation of individuals, their institutions and journals themselves. In contrast to author self-citations, little is known about kinetics of journal self-citations. Here we hypothesized that they may show a generalizable pattern within particular research fields or across multiple fields. We thus analyzed self-cites to 60 journals from three research fields (multidisciplinary sciences, parasitology, and information science). We also hypothesized that the kinetics of journal self-citations and citations received from other journals of the same publisher may differ from foreign citations. We analyzed the journals published the American Association for the Advancement of Science, Nature Publishing Group, and Editura Academiei Române. We found that although the kinetics of journal self-cites is generally faster compared to foreign cites, it shows some field-specific characteristics. Particularly in information science journals, the initial increase in a share of journal self-citations during post-publication year 0 was completely absent. Self-promoting journal self-citations of top-tier journals have rather indirect but negligible direct effects on bibliometric indicators, affecting just the immediacy index and marginally increasing the impact factor itself as long as the affected journals are well established in their fields. In contrast, other forms of journal self-citations and citation stacking may severely affect the impact factor, or other citation-based indices. We identified here a network consisting of three Romanian physics journals Proceedings of the Romanian Academy, Series A, Romanian Journal of Physics, and Romanian Reports in Physics, which displayed low to moderate ratio of journal self-citations, but which multiplied recently their impact factors, and were mutually responsible for 55.9%, 64.7% and 63.3% of citations within the impact factor calculation window to the three journals, respectively. They did not receive nearly any network self-cites prior impact factor calculation window, and their network self-cites decreased sharply after the impact factor calculation window. Journal self-citations and citation stacking requires increased attention and elimination from citation indices.

• MeSH
• bibliometrie MeSH
• biomedicínský výzkum * MeSH
• impakt faktor časopisů * MeSH
• informační věda MeSH
• interpretace statistických dat * MeSH
• lidé MeSH
• periodika jako téma * MeSH
• publikování MeSH
• rukopisy jako téma MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

PURPOSE OF THE STUDY The purpose of this study was to identify and analyze the current most cited top-100 articles in shoulder arthroscopy literature. MATERIAL AND METHODS This retrospective analysis obtained bibliometric information from the Web of Science (WoS) database and analyzed the data via VOSviewer through software package. RESULTS The citation count of the most-cited articles varied from 122 to 923 on WoS. Altogether, the top 100 articles were cited 19,726 times; the average number of citations among the articles was 197.26. According to an abstract analysis, the most frequent terms were rotator cuff tear, tear, instability, and pain. A total of 73 of the top-100 cited articles were published between 2000-2014, while the oldest article was published in 1986. The most productive year was in 2007 (15 publications), and the most productive countries were the United States of America (63 publications) and France (15 publications). CONCLUSIONS Shoulder arthroscopy has been increasingly performed as an outpatient procedure in recent years. Our study may provide insights into trending topics in shoulder arthroscopy, the qualities which make an article relevant to global peers in the specialty, and may also serve to inspire relevant future articles. Clinical Relevance: The most cited top 100 articles in shoulder arthroscopy may give some insights on what qualities make an article relevant to global peers in the specialty and also inspire further relevant research in the future. Key words: arthroscopy, shoulder arthroscopy, bibliometric study, the most cited articles.

• MeSH
• artroskopie * MeSH
• bibliometrie MeSH
• lidé MeSH
• publikace MeSH
• rameno * MeSH
• retrospektivní studie MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Spojené státy americké MeSH

Autor je český psychiatr žijící již 42 roků mimo Českou republiku, z toho 40 let v USA. Článkem reaguje na Výzvu redakce v prvním čísle letošního Časopisu lékařů českých, doporučující hojnější citování domácích autorů. Článek je psán jen pro informaci české lékařské obce (tzv. pro domo sua). Některé detaily týkající se těchto otázek lze najít v knize: Křížek, J.: Emigrant lékař vypráví. Sursum, 2003.

The author is an American psychiatrist of Czech origin, who has lived abroad since 1966, primarily in the USA. This contribution presents his viewpoint regarding several articles in Journal of Czech Physicians No. 1., 2008. The point of discussion is the purported lack of representation of Czech authors among authors cited by Czech doctors in articles which appear in domestic and also international medical journals.

• MeSH
• jazyk (prostředek komunikace) MeSH
• periodika jako téma normy   využití   MeSH
• společnosti lékařské organizace a řízení   využití   MeSH
• terminologie jako téma MeSH
• Geografické názvy
• Česká republika MeSH

Aims: The purpose of this study is to evaluate an Altmetric analysis of the 50 most cited refractive surgery articles in Ophthalmology journals and to compare them with traditional metrics. Methods: The term "refractive surgery" was searched, using a time filter between 2010-2020 in the Web of Science core collection database. The 50 most cited articles between 2010 and 2020 were recorded. Descriptive statistics were performed. The Spearman correlation test was used to evaluate the correlation between traditional metrics and Altmetrics. Results: The Altmetric scores of the top 50 articles ranged from 0 to 25, and the median Altmetric score was 4. The citation numbers of the 50 articles ranged from 83 to 523, and the median citation number was 119.5. The most cited article topic was "Toric Intraocular Lens"; the topics with the highest Altmetric scores were "Toric Intraocular Lens" and "Trifocal Intraocular Lens". There was no significant correlation between Altmetric scores and number of citations. There was a weak correlation between Altmetric scores and the average citation per year. Conclusion: The Altmetric score is insufficient, compared with traditional metrics, to show the scientific value of articles on refractive surgery. Altmetrics can be used to supplement traditional metrics.

• MeSH
• altmetrika * MeSH
• metaanalýza jako téma MeSH
• refrakční chirurgické výkony * klasifikace   metody   MeSH
• sociální média klasifikace   MeSH
• ukládání a vyhledávání informací klasifikace   metody   MeSH
• Publikační typ
• klinická studie MeSH

• MeSH
• farmakologie MeSH
• lékařská informatika MeSH
• publikace MeSH
• Geografické názvy
• Česká republika MeSH

Multiple studies have investigated bibliometric factors predictive of the citation count a research article will receive. In this article, we go beyond bibliometric data by using a range of machine learning techniques to find patterns predictive of citation count using both article content and available metadata. As the input collection, we use the CORD-19 corpus containing research articles-mostly from biology and medicine-applicable to the COVID-19 crisis. Our study employs a combination of state-of-the-art machine learning techniques for text understanding, including embeddings-based language model BERT, several systems for detection and semantic expansion of entities: ConceptNet, Pubtator and ScispaCy. To interpret the resulting models, we use several explanation algorithms: random forest feature importance, LIME, and Shapley values. We compare the performance and comprehensibility of models obtained by "black-box" machine learning algorithms (neural networks and random forests) with models built with rule learning (CORELS, CBA), which are intrinsically explainable. Multiple rules were discovered, which referred to biomedical entities of potential interest. Of the rules with the highest lift measure, several rules pointed to dipeptidyl peptidase4 (DPP4), a known MERS-CoV receptor and a critical determinant of camel to human transmission of the camel coronavirus (MERS-CoV). Some other interesting patterns related to the type of animal investigated were found. Articles referring to bats and camels tend to draw citations, while articles referring to most other animal species related to coronavirus are lowly cited. Bat coronavirus is the only other virus from a non-human species in the betaB clade along with the SARS-CoV and SARS-CoV-2 viruses. MERS-CoV is in a sister betaC clade, also close to human SARS coronaviruses. Thus both species linked to high citation counts harbor coronaviruses which are more phylogenetically similar to human SARS viruses. On the other hand, feline (FIPV, FCOV) and canine coronaviruses (CCOV) are in the alpha coronavirus clade and more distant from the betaB clade with human SARS viruses. Other results include detection of apparent citation bias favouring authors with western sounding names. Equal performance of TF-IDF weights and binary word incidence matrix was observed, with the latter resulting in better interpretability. The best predictive performance was obtained with a "black-box" method-neural network. The rule-based models led to most insights, especially when coupled with text representation using semantic entity detection methods. Follow-up work should focus on the analysis of citation patterns in the context of phylogenetic trees, as well on patterns referring to DPP4, which is currently considered as a SARS-Cov-2 therapeutic target.

• Publikační typ
• časopisecké články MeSH

Úvod: Anaplastický velkobuněčný lymfom spojený s prsním implantátem (breast implant-associated anaplastic large cell lymphoma – BIA-ALCL) je nedávno objevená malignita T buněk vznikající při použití silikonových prsních implantátů. Předpokládá se, že etiologie může být spojena s růstem bakterií a dlouhodobým zánětem. U postižené pacientky se obvykle objeví otok prsu v důsledku nahromadění periimplantátové tekutiny. V současné době je diagnostika prováděna pomocí ultrazvuku, biopsie a testování určitých biomarkerů. Další léčba spočívá v úplné chirurgické excizi a kapsulektomii s výměnou za implantáty s hladkým povrchem. Cílem této studie bylo identifikovat a představit 50 nejcitovanějších článků týkajících se oblasti BIA-ALCL. Metody: K identifikaci 325 článků týkajících se BIA-ALCL byl použit citační index Web of Science. Do této studie bylo zahrnuto 50 nejcitovanějších článků z nich. Byl evidován název, jméno autora, časopis a rok vydání, země a institut původu, úroveň důkazu (level of evidence – LoE), typ studie (klinická nebo základní) a téma studie (patofyziologie, onkologický management, diagnostika, kazuistiky a případy). Výsledky: Tato studie zahrnuje články od roku 1997 do roku 2018 s průměrnou citací 65,5. U většiny citovaných článků (36 %; n = 18) byly nalezeny kazuistiky, následovaly série případů (18 %; n = 9), systémové recenze (12 %; n = 6) a studie zaměřené na patofyziologii (16 %; n = 8), onkologický management (6 %; n = 3), databáze (6 %; n = 3), diagnostika (4 %; n = 2) a informovaný souhlas (2 %; n = 1). Články byly publikovány ve 30 časopisech a pocházely z 35 ústavů. Země původu většiny studií byly Spojené státy. Přestože žádný z článků nedosáhl úrovně důkazu 1, u většiny bylo zjištěno, že mají úroveň důkazu 4 (n = 11) nebo 5 (n = 19). Většina článků (n = 42) představovala klinický výzkum. Závěr: Podle této citační analýzy je velká část stávající literatury o BIA-ALCL s vysokým impaktem zaměřena na sledování onemocnění. Doufáme, že prostřednictvím této studie představíme jednoduchý vzdělávací nástroj, který umožní lépe ocenit výzkum v této relativně mladé oblasti.

Background: Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a recently discovered malignancy of T-cell type, correlated with the use of silicone breast implants. It has been theorized that the etiology may be linked to bacterial growth and long-term inflammation. The afflicted patient usually presents with breast swelling due to peri-implant fluid accumulation. Currently, the diagnosis is achieved by ultrasound, biopsy and testing for certain biomarkers. Following this, the treatment is achieved by complete surgical excision, or by capsulectomy and exchange with smoother surfaced implants. The aim of this study was to identify and report 50 most cited articles related to the field of BIA--ALCL. Methods: The Web of Science Citation Index was used to identify 325 articles pertaining to BIA-ALCL. The 50 most cited articles among these were included in this study. The title, author name, journal and year of publication, country and institute of origin, level of evidence (LoE), type of study (clinical or basic), and topic of study (pathophysiology, oncologic management, diagnosis, case report and case series) were recorded. Results: This study includes articles from the period 1997–2018 with an average citation rate of 65.5. The majority of the top cited articles (36%; N = 18) were found to be case reports, followed by case series (18%; N = 9), systemic reviews (12%; N = 6) and studies focused on the pathophysiology (16%; N = 8), oncologic management (6%; N = 3), databases (6%; N = 3), diagnostics (4%; N = 2) and informed consent (2%; N = 1). The articles were published across 30 journals and originated from 35 institutes. The United States was found to be the country of origin of most of the studies. While none of the articles achieved LoE 1, many were found to have LoE 4 (N = 11) or 5 (N = 19). Most of the articles (N = 42), were clinical research studies. Conclusion: According to this citation analysis, a large fraction of the existing high impact literature on BIA-ALCL is focused on disease monitoring. Through this study, we hope to present a simple educational tool to better appreciate the research in this relatively young field.

• MeSH
• anaplastický velkobuněčný lymfom etiologie   MeSH
• lidé MeSH
• metaanalýza jako téma MeSH
• nádory prsu * etiologie   MeSH
• prsní implantáty * škodlivé účinky   MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH

Prior to 1985 the Food and Agriculture Organization (FAO) estimated global food crop contamination with mycotoxins to be 25%. The origin of this statement is largely unknown. To assess the rationale for it, the relevant literature was reviewed and data of around 500,000 analyses from the European Food Safety Authority and large global survey for aflatoxins, fumonisins, deoxynivalenol, T-2 and HT-2 toxins, zearalenone and ochratoxin A in cereals and nuts were examined. Using different thresholds, i.e. limit of detection, the lower and upper regulatory limits of European Union (EU) legislation and Codex Alimentarius standards, the mycotoxin occurrence was estimated. Impact of different aspects on uncertainty of the occurrence estimates presented in literature and related to our results are critically discussed. Current mycotoxin occurrence above the EU and Codex limits appears to confirm the FAO 25% estimate, while this figure greatly underestimates the occurrence above the detectable levels (up to 60-80%). The high occurrence is likely explained by a combination of the improved sensitivity of analytical methods and impact of climate change. It is of immense importance that the detectable levels are not overlooked as through diets, humans are exposed to mycotoxin mixtures which can induce combined adverse health effects.

• MeSH
• aflatoxiny analýza   MeSH
• Evropská unie MeSH
• fumonisiny analýza   MeSH
• klimatické změny MeSH
• kontaminace potravin analýza   statistika a číselné údaje   MeSH
• lidé MeSH
• mykotoxiny analýza   MeSH
• reprodukovatelnost výsledků MeSH
• zearalenon analýza   MeSH
• zemědělské plodiny chemie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• radiochirurgie metody   přístrojové vybavení   MeSH
• stereotaktické techniky přístrojové vybavení   MeSH
• záření gama terapeutické užití   MeSH
• Publikační typ
• sborníky MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• radiologie, nukleární medicína a zobrazovací metody
• neurochirurgie