Nature Methods Impact Factor 2024-2025 - ResearchHelpDesk - Nature Methods is a monthly journal publishing novel methods and significant improvements to basic life sciences research techniques. All editorial decisions are made by a team of full-time professional editors. Nature Methods is a forum for the publication of novel methods and significant improvements to tried-and-tested basic research techniques in the life sciences. This monthly publication is aimed at a broad, interdisciplinary audience of academic and industry researchers actively involved in laboratory practice. It provides them with new tools to conduct their research and places a strong emphasis on the immediate practical relevance of the work presented. The journal publishes primary research papers as well as overviews of recent technical and methodological developments. We are actively seeking primary methods papers of relevance to the biological and biomedical sciences, including methods grounded in chemistry that have a practical application to the study of biological problems. To enhance the practical relevance of each paper, description of the method must be accompanied by its validation, its application to an important biological question and results illustrating its performance in comparison to available approaches. Articles are selected for publication that present broad interest, thorough assessments of methodological performance and comprehensive technical descriptions that facilitate immediate application. Specific areas of interest include, but are not limited to: Methods for nucleic acid manipulation, amplification and sequencing Methods for protein engineering, expression and purification Methods for proteomics, including mass spectrometry, analysis of binding interactions, microarray-based technologies, display techniques, analysis of post-translational modifications, glycobiology and metabolomics Methods for systems biology, including proteomics approaches, protein interaction analysis methods and genome wide expression and regulation profiling Biomolecular structural analysis technologies, including NMR and crystallography Chemical biology techniques, including chemical labeling, methods for expanding the genetic code and directed evolution Biophysical methods, including single molecule and lab-on-a-chip technologies Optical and non-optical imaging technologies, including probe design and labeling methods, microscopy, spectroscopy and in vivo imaging Techniques for the analysis and manipulation of gene expression, including epigenetics, gene targeting, transduction, RNA interference and microarray-based technologies Methods for cell culture and manipulation, including stem cells, single cell methods and lab-on-a-chip technologies Immunological techniques, including production of antibodies, antibody-based assays and immunolabeling Methods for the study of physiology and disease processes including cancer Methods involving model organisms and their manipulation and phenotyping Computational and bioinformatic methods for analysis, modeling or visualization of biological data Nanotechnology-based methods applied to basic biology

For each main and supporting figures, the linear mixed models, statistical inference tests, and p-values are shown. (XLSX)

The meta data for the tables and figures are described in the Legends, Methods and Supplementary data files. This dataset is associated with the following publication: Surette, M., D.M. Mitrano, and K. Rogers. Extraction and Concentration of Nanoplastic Particles from Aqueous Suspensions using Functionalized Magnetic Nanoparticles and a Magnetic Flow Cell. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,

Regression ranks among the most popular statistical analysis methods across many research areas, including psychology. Typically, regression coefficients are displayed in tables. While this mode of presentation is information-dense, extensive tables can be cumbersome to read and difficult to interpret. Here, we introduce three novel visualizations for reporting regression results. Our methods allow researchers to arrange large numbers of regression models in a single plot. Using regression results from real-world as well as simulated data, we demonstrate the transformations which are necessary to produce the required data structure and how to subsequently plot the results. The proposed methods provide visually appealing ways to report regression results efficiently and intuitively. Potential applications range from visual screening in the model selection stage to formal reporting in research papers. The procedure is fully reproducible using the provided code and can be executed via free-of-charge, open-source software routines in R.

In 2024, when corporations and educational institutions based in the United States were asked to report on the training delivery method of their company, the most popular training delivery method overall was ********************************. Large companies, however, preferred a ***************************.

The Everyday Itinerary Dataset is the first public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham. It is a manually curated dataset of Katherine Dunham's touring from 1937-1962, encompassing Dunham's daily locations, travel, and performances. This dataset tracks geographic location and, less comprehensively, the accommodation in which Dunham stayed each night; the theatres, nightclubs, television studios, and other places where she and the company performed; the modes of transportation used when travel occurred; additional transit cities through which she passed; and whether or not Dunham was likely to be in rehearsals or giving public performances. Dunham's Data: Digital Methods for Dance Historical Inquiry is funded by the United Kingdom Arts and Humanities Research Council (AHRC AH/R012989/1, 2018-2022) and is part of a larger suite of ongoing digital collaborations by Bench and Elswit, Movement on the Move. The Dunham's Data team also includes digital humanities postdoctoral research assistant Antonio Jiménez-Mavillard and dance history postdoctoral research assistants Takiyah Nur Amin and Tia-Monique Uzor.

In 2023, ************************** were the top recruitment method for companies in the United States. *************** were also a popular option, with ** percent of companies surveyed mentioning this as their preferred recruitment method.

Notes: DMC, data collection method; MCOD, medical certification of death; VA, verbal autopsy; COD, cause-of-death.Data collection methods for vital statistics.

Detailed description of statistical methods and tables.

BFD stands for the benchmark with full data analyzed with the current standard method, which includes t-tests for two-group comparisons. CTOT stands for the cycle-to-threshold method, while CO denotes the complete-observation method and MC denotes the method that sets uncertain and incomplete observations equal to the assay-specific maximum cycle threshold C1. Uncertain qPCR data may occur in one or both groups under comparison. (CSV)

This dataset is about book subjects. It has 1 row and is filtered where the books is Computer methods in operations research. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Journal of methods and measurement in the social sciences - ResearchHelpDesk - The Journal of Methods and Measurement in the Social Sciences (JMM) is an online scholarly publication focusing on methodology and research design, measurement, and data analysis – providing a new venue for unique and interesting contributions in these study areas which frequently overlap. Focus and Scope The Journal of Methods and Measurement in the Social Sciences (JMM) publishes articles related to methodology and research design, measurement, and data analysis. The journal is published twice yearly, and features theoretical, empirical, and educational articles. JMM is meant to further our understanding of methodology and how to formulate the right questions. It is broadly concerned with improving the methods used to conduct research, the measurement of variables used in the social sciences, and improving the applications of data analysis. In addition to research articles, JMM welcomes instructional articles and brief reports or commentaries. We welcome sound, original contributions.

The purpose of this report is to compare alternative methods for producing measures of SEs for regression models for the MHSS clinical sample with the goal of producing more accurate and potentially smaller SEs.

stevhliu/supported-peft-models-methods dataset hosted on Hugging Face and contributed by the HF Datasets community

A comprehensive Amazon books dataset featuring 20,000 books and 727,876 reviews spanning 26 years (1997-2023), paired with a complete step-by-step data science tutorial. Perfect for learning data analytics from scratch or conducting advanced book market analysis.

What's Included:

Raw Data: 20K book metadata (titles, authors, prices, ratings, descriptions) + 727K detailed reviews Complete Tutorial Series: 4 progressive Python scripts covering data loading, cleaning, exploratory analysis, and visualization Ready-to-Run Code: Fully documented scripts with practice exercises Educational Focus: Designed for ENTR 3901 coursework but suitable for all skill levels Key Features:

Real-world e-commerce data (pre-filtered for quality: 200+ reviews, $5+ price) Comprehensive documentation and setup instructions Generates 6+ professional visualizations Includes bonus analysis challenges (sentiment analysis, price optimization, time patterns) Perfect for business analytics, market research, and data science education Use Cases:

Learning data analytics fundamentals Book market analysis and trends Customer behavior insights Price optimization studies Review sentiment analysis Academic coursework and projects This dataset bridges the gap between raw data and practical learning, making it ideal for both beginners and experienced analysts looking to explore e-commerce patterns in the publishing industry.

European journal of research methods for the behavioral and social sciences Abstract & Indexing - ResearchHelpDesk - Methodology is the successor of the two journals Metodologia de las Ciencias del Comportamiento and Methods of Psychological Research-Online (MPR-Online). Methodology is the official organ of the European Association of Methodology (EAM), a union of methodologists working in different areas of the social and behavioral sciences (e.g., psychology, sociology, economics, educational and political sciences). The journal provides a platform for interdisciplinary exchange of methodological research and applications in the different fields, including new methodological approaches, review articles, software information, and instructional papers that can be used in teaching. Three main disciplines are covered: data analysis, research methodology, and psychometrics. The articles published in the journal are not only accessible to methodologists but also to more applied researchers in the various disciplines. Abstract & indexing Social Sciences Citation Index (SSCI), Current Contents/Social & Behavioral Sciences (CC/S&BS) (since 2009), PsycINFO, PSYNDEX, ERIH and Scopus.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Breakdown of data collection methods per country.

Prominent rent growth indices often give strikingly different measurements of rent inflation. We create new indices from Bureau of Labor Statistics (BLS) rent microdata using a repeat-rent index methodology and show that this discrepancy is almost entirely explained by differences in rent growth for new tenants relative to the average rent growth for all tenants. Rent inflation for new tenants leads the official BLS rent inflation by four quarters. As rent is the largest component of the consumer price index, this has implications for our understanding of aggregate inflation dynamics and guiding monetary policy. Download NTRR and ATRR indices through 2022q3 here.

For a drug product that does not have a dissolution test method in the United States Pharmacopeia (USP), the FDA Dissolution Methods Database provides information on dissolution methods presently recommended by the Division of Bioequivalence, Office of Generic Drugs.