The impact of individual scientists is commonly quantified using citation-based measures. The most common such measure is the h-index. A scientist's h-index affects hiring, promotion, and funding decisions, and thus shapes the progress of science. Here we report a large-scale study of scientometric measures, analyzing millions of articles and hundreds of millions of citations across four scientific fields and two data platforms. We find that the correlation of the h-index with awards that indicate recognition by the scientific community has substantially declined. These trends are associated with changing authorship patterns. We show that these declines can be mitigated by fractional allocation of citations among authors, which has been discussed in the literature but not implemented at scale. We find that a fractional analogue of the h-index outperforms other measures as a correlate and predictor of scientific awards. Our results suggest that the use of the h-index in ranking scientists should be reconsidered, and that fractional allocation measures such as h-frac provide more robust alternatives.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238192 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0253397 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Generative Bayesian Computation for Maximum Expected Utility.
Entropy (Basel)
December 2024
Volgenau School of Engineering, George Mason University, 4400 University Drive, MSN 5D3, Fairfax, VA 22030, USA.
Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). We propose a density-free generative method based on quantiles that naturally calculates expected utility as a marginal of posterior quantiles. Our approach uses a deep quantile neural estimator to directly simulate distributional utilities.
View Article and Find Full Text PDFA novel conformable fractional-order accumulation grey model and its applications in forecasting energy consumption of China.
Sci Rep
December 2024
School of Mathematical Sciences, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Accurate forecasting of energy consumption demand is crucial to optimize resources and achieve sustainable development goals. However, the energy system is affected by many factors, which are complex and highly uncertain. Therefore, a novel grey model (IBCFGMP (1,1,N)) is proposed, integrating multiple optimization techniques such as background value optimization, initial condition optimization, fractional-order accumulation optimization, and grey action quantity optimization.
View Article and Find Full Text PDFEstablishing a Novel Animal Model of Tricuspid Regurgitation by Self-expanding Stent.
Ann Ital Chir
December 2024
Department of Cardiovascular Surgery, Shaoxing People's Hospital, 312000 Shaoxing, Zhejiang, China.
Article Synopsis
- The aim of the study was to create a reproducible animal model of tricuspid regurgitation (TR) using a self-expanding nickel-titanium stent.
- The experiment involved 10 pigs, 7 in the experimental group undergoing TR induction through stent implantation, while 3 served as controls without the stent.
- Results showed significant changes in cardiac structure and function in the experimental group, indicating successful model establishment with no fatalities, making this approach effective for further research on right ventricular issues.
Cortisol awakening response prompts dynamic reconfiguration of brain networks in emotional and executive functioning.
Proc Natl Acad Sci U S A
December 2024
State Key Laboratory of Cognitive Neuroscience and Learning & International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Emotion and cognition involve an intricate crosstalk of neural and endocrine systems that support dynamic reallocation of neural resources and optimal adaptation for upcoming challenges, an active process analogous to allostasis. As a hallmark of human endocrine activity, the cortisol awakening response (CAR) is recognized to play a critical role in proactively modulating emotional and executive functions. Yet, the underlying mechanisms of such proactive effects remain elusive.
View Article and Find Full Text PDFAssessing multidimensional fidelity in a pilot optimization trial: A process evaluation of four intervention components supporting medication adherence in women with breast cancer.
Transl Behav Med
December 2024
Leeds Institute of Health Sciences, University of Leeds, Leeds LS2 9NL, UK.
Adherence to adjuvant endocrine therapy in women with breast cancer is low. We conducted a 24-1 fractional factorial pilot optimization trial to test four intervention components supporting medication adherence [text messages, information leaflet, acceptance and commitment therapy (ACT), self-management website], in the preparation phase of the multiphase optimization strategy. Guided by the National Institute of Health Behavior Change Consortium fidelity framework, we investigated fidelity of design, training, delivery, receipt, and enactment of four intervention components.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!