The impact of open access on citations, Pageviews, and downloads: a scientometric analysis in Postgraduate Medical Journal.

Purpose: The influence of Open Access (OA) on the citation impact of scholarly articles remains a topic of considerable debate. This study aims to elucidate the relationship between OA publication and citation metrics, as well as article visibility, within the context of the Postgraduate Medical Journal (PMJ).

Methods: We conducted a retrospective analysis of 373 articles published in PMJ between 2020 and 2021.

New perspectives on cancer clinical research in the era of big data and machine learning.

In the 21st century, the development of medical science has entered the era of big data, and machine learning has become an essential tool for mining medical big data. The establishment of the SEER database has provided a wealth of epidemiological data for cancer clinical research, and the number of studies based on SEER and machine learning has been growing in recent years. This article reviews recent research based on SEER and machine learning and finds that the current focus of such studies is primarily on the development and validation of models using machine learning algorithms, with the main directions being lymph node metastasis prediction, distant metastasis prediction, and prognosis-related research.

Corrigendum: The Mechanisms and Boundary Conditions of Drug Memory Reconsolidation.

[This corrects the article DOI: 10.3389/fnins.2021.

The Mechanisms and Boundary Conditions of Drug Memory Reconsolidation.

Drug addiction can be seen as a disorder of maladaptive learning characterized by relapse. Therefore, disrupting drug-related memories could be an approach to improving therapies for addiction. Pioneering studies over the last two decades have revealed that consolidated memories are not static, but can be reconsolidated after retrieval, thereby providing candidate pathways for the treatment of addiction.