scientometrics and bibliometrics research

Neuroscience in Conversation: Tracking Scientific Change Through an Open Seminar Archive

This paper analyzes neuroscience seminar transcripts to track scientific trends and predict future discourse, finding limited predictive power in spoken scientific conversations.

It runs in the family: New extinct species from charismatic clades are more likely to be published in high-impact journals than those from non-charismatic clades

Among 8,331 new extinct species named in thirteen journals since 2000, avemetatarsalians and mammaliamorphs exceed 50% of species in Nature and Science but are under 15% in paleontology journals.

Mapping scientific cosmopolitanism: scientists with publication records substantially split across multiple countries

The paper maps scientific cosmopolitanism by analyzing Scopus data, finding 20.4% of top-cited scientists have substantial publication records in multiple countries.

Gender imbalances of retraction prevalence among highly cited authors and among all authors

This study examines gender differences in retraction rates among highly cited and all authors, finding no major gender disparities but field-specific variations.

Suspected distortion of citations in high-impact cancer journals

Molecular oncology papers that textually resemble retracted paper mill papers receive 50 to 100% more citations yet fewer readers, cite one another, and measurably inflate some journals' citation rates.

Forecasting novel therapeutic development in biomedical research

This paper predicts FDA-approved drugs years in advance using citation and publication data from biomedical literature, achieving an F1-score of 0.84.

Press Releases Shape Online Attention for Neuroscience Articles

This study shows press releases increase altmetric scores for neuroscience articles by boosting news mentions and social media posts.

Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis

This paper analyzes shifts in early citation trends in cancer genomics and diagnostics using bibliometric and semantic methods, finding increased focus on spatial omics and heterogeneity.

Negligible participation in the scientific literature of AI unicorn startups

This study analyzes the scientific output of AI unicorn startups, finding minimal participation in formal scientific communication.

The publication and citation gender gap in Biology: bibliometric analysis of Biology faculty at top United States universities

This study analyzes the gender gap in publication and citation rates among Biology faculty at top U.S. universities, finding women publish less and are less cited but take similar time to reach Professor rank.

AI predictions and the expansion of scientific frontiers: Evidence from structural biology

This paper shows that AI, specifically AlphaFold2, redirected scientific attention toward novel research targets in structural biology, increasing engagement with understudied genes and proteins.

Evaluating longitudinal ecological models linking scientific production to population-level indicators: a global case study in mental health research

This study evaluates longitudinal ecological models linking scientific production to population-level indicators in mental health research, finding strong contextual heterogeneity and data constraints.

Science-wide mapping and ranking of institutions based on affiliated authors' impact and research integrity proxies

The paper maps and ranks institutions based on authors' impact and research integrity proxies, revealing disparities in rankings due to self-citation and retractions.

Trends in the representation of research on model organisms in scientific literature

This paper analyzes the declining representation of model organism research in scientific literature over the last three decades, noting a shift toward applied research and potential impacts on life sciences.

A Query-to-Dashboard Framework for Reproducible PubMed-Scale Bibliometrics and Trend Intelligence

PubMed Atlas provides a reproducible framework for analyzing PubMed-scale bibliometric data to identify scientific trends and research gaps.

The Evolving Landscape of Neuroscience

This study analyzes 461,316 neuroscience articles to reveal the field's structural organization, dominant research domains, and trends in experimental focus and applied research.

Automated Calculation of the Disruption Index: A Reproducible Computational Workflow for Large-Scale Bibliometric Analyses

This paper introduces an automated computational workflow for large-scale bibliometric analyses using the Disruption Index, demonstrating its application to orthodontic literature.

Most science is published from countries lacking in democracy and freedom of press

The paper analyzes global scientific publication trends, finding that most research originates from countries with low democracy and freedom of press ratings.

Global Scientific Trends in Organoids from 2004 to 2023: A Data Bibliometric and Visualized Analysis

This paper analyzes global organoid research trends from 2004 to 2023 using bibliometric data, identifying five clusters and highlighting the US leadership in publications and citations.

The evolution of interdisciplinarity and internationalization in scientific journals

This study analyzes trends in internationalization and interdisciplinarity in scientific journals using OpenAlex metadata, finding increasing internationalization but disparities across disciplines.

Prediction of transformative breakthroughs in biomedical research

This paper identifies an AI/ML-detected signature in co-citation networks that predicts biomedical research breakthroughs up to 12 years in advance.

Mapping the AI Life Sciences Landscape in Greece: A National Survey and Bibliometric Comparison with Global Trends

This study maps AI use in Greek Life Sciences through bibliometric analysis and a national survey, revealing strengths in methodology and barriers in data and resources.

The Research Mind: A Multi-Dimensional Framework for Evaluating Research Quality, Productivity, and Integrity by Mitigating Citation Bias

The paper introduces the Research Mind framework with S-Score and Q-Score metrics to evaluate research productivity and quality, complementing the C-Score system, and provides a web tool for mentorship evaluation.

Seventy-five Years of Systematic Biology: Looking Back, Moving Forward

The paper analyzes the evolution of systematic biology over 75 years using bibliometric and textual data from 5,150 articles.

The W-index: a novel tool to evaluate gender equity in STEM research

The paper introduces the W-index, a metric to assess gender equity in STEM research, showing it increases with women's representation and career stage across multiple case studies.

Bibliometric Insights into Medical Data Science Applications in Genomics: Evidence from Kaggle and Dimensions Datasets

This paper uses bibliometric analysis of Kaggle and Dimensions datasets to map the knowledge lifecycle in medical genomics data science, revealing trends and gaps between academic research and practical applications.

Systematic Review of Over A Century of Global Bioscience Research

This study reviews over a century of bioscience research trends using bibliometric analysis, finding exponential growth since 2007 and dominance by high-income countries.

Do organisms need an impact factor? Citations of key biological resources including model organisms reveal usage patterns and impact.

The paper analyzes citation practices for biological resources over 10 years, showing improved findability and adherence to NIH rigor criteria after adopting RRID citations.

Visual Analysis of Cell Death in Bladder Cancer -- A Bibliometrics-Based Comprehensive Study

This study uses bibliometrics to analyze 5,392 bladder cancer cell death publications, identifying trends and highlighting immunotherapy and photodynamic therapy as emerging strategies.

Features and signals in precocious citation impact: a meta-research study

The paper analyzes precocious citation impact, finding that top-cited authors in short timeframes often exhibit indicators of potential fraud or manipulation.