The Altmetric Attention Score: how science tries to meet social media

Tomasoni, Daniela; Coats, Andrew J.S.

doi:10.1002/ejhf.2136

Cited by 5 publications

(1 citation statement)

References 43 publications

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“…We use the 2021 edition of Journal Citation Reports (JCR) and IF to assess the value of journals ( 33 ). The Altmetric Attention Score (AAS) is a new metric for assessing the impact of articles ( 34 ). It uses weighted algorithms to collect data from various origins, including news, Twitter, Google, Facebook, personal blogs, and other social media.…”

Section: Methodsmentioning

confidence: 99%

A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002-2022)

et al. 2023

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BackgroundColorectal cancer (CRC) has the third-highest incidence and second-highest mortality rate of all cancers worldwide. Early diagnosis and screening of CRC have been the focus of research in this field. With the continuous development of artificial intelligence (AI) technology, AI has advantages in many aspects of CRC, such as adenoma screening, genetic testing, and prediction of tumor metastasis.ObjectiveThis study uses bibliometrics to analyze research in AI in CRC, summarize the field’s history and current status of research, and predict future research directions.MethodWe searched the SCIE database for all literature on CRC and AI. The documents span the period 2002-2022. we used bibliometrics to analyze the data of these papers, such as authors, countries, institutions, and references. Co-authorship, co-citation, and co-occurrence analysis were the main methods of analysis. Citespace, VOSviewer, and SCImago Graphica were used to visualize the results.ResultThis study selected 1,531 articles on AI in CRC. China has published a maximum number of 580 such articles in this field. The U.S. had the most quality publications, boasting an average citation per article of 46.13. Mori Y and Ding K were the two authors with the highest number of articles. Scientific Reports, Cancers, and Frontiers in Oncology are this field’s most widely published journals. Institutions from China occupy the top 9 positions among the most published institutions. We found that research on AI in this field mainly focuses on colonoscopy-assisted diagnosis, imaging histology, and pathology examination.ConclusionAI in CRC is currently in the development stage with good prospects. AI is currently widely used in colonoscopy, imageomics, and pathology. However, the scope of AI applications is still limited, and there is a lack of inter-institutional collaboration. The pervasiveness of AI technology is the main direction of future housing development in this field.

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Section: Methodsmentioning

confidence: 99%