Abstract PO-001: The repository for Caribbean cancer publications (ReCCaP): Database development and publication trends 2004-2019

In the last decade, an increasing number of analyses of accounting history literature have been undertaken to classify historical research paths and to “map” the variety of approaches and issues of the discipline in different geographical settings so as to make international comparisons. The paper develops these topics in the Italian context by studying the development of accounting history research (AHR) in the last 15 years. Contributions by Italian authors have been published in international and national specialist journals as well as in more general accounting journals. Other papers have been presented and published in the proceedings of the biannual SISR (Società Italiana di Storia della Ragioneria) Congress and in the Congress celebrating the 500th anniversary of the publication of Pacioli's Summa held in Venice in 1994. The findings chart publication trends during the period 1990–2004 from a quantitative and qualitative perspective, based on different dimensions, the dynamic of change in Italian AHR, and its possible limitations. The paper is informed by an international perspective and causal interpretations are attempted.

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Performance Engineering and Database Development at MongoDB

Companion of the ACM/SPEC International Conference on Performance Engineering ◽

10.1145/3447545.3451199 ◽

2021 ◽

Author(s):

David Daly

Keyword(s):

Database Development ◽

Performance Engineering

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Development of a biomarker database toward performing disease classification and finding disease interrelations

Database ◽

10.1093/database/baab011 ◽

2021 ◽

Vol 2021 ◽

Author(s):

Shaikh Farhad Hossain ◽

Ming Huang ◽

Naoaki Ono ◽

Aki Morita ◽

Shigehiko Kanaya ◽

...

Keyword(s):

Rapid Detection ◽

Molecular Mechanisms ◽

Clustering Algorithm ◽

Disease Diagnosis ◽

Disease Classification ◽

Network Clustering ◽

Medical Field ◽

Database Development ◽

Abnormal State ◽

Comprehensive Information

Abstract A biomarker is a measurable indicator of a disease or abnormal state of a body that plays an important role in disease diagnosis, prognosis and treatment. The biomarker has become a significant topic due to its versatile usage in the medical field and in rapid detection of the presence or severity of some diseases. The volume of biomarker data is rapidly increasing and the identified data are scattered. To provide comprehensive information, the explosively growing data need to be recorded in a single platform. There is no open-source freely available comprehensive online biomarker database. To fulfill this purpose, we have developed a human biomarker database as part of the KNApSAcK family databases which contain a vast quantity of information on the relationships between biomarkers and diseases. We have classified the diseases into 18 disease classes, mostly according to the National Center for Biotechnology Information definitions. Apart from this database development, we also have performed disease classification by separately using protein and metabolite biomarkers based on the network clustering algorithm DPClusO and hierarchical clustering. Finally, we reached a conclusion about the relationships among the disease classes. The human biomarker database can be accessed online and the inter-disease relationships may be helpful in understanding the molecular mechanisms of diseases. To our knowledge, this is one of the first approaches to classify diseases based on biomarkers. Database URL: http://www.knapsackfamily.com/Biomarker/top.php

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Global publication trends and hotspots of molecular biomarkers in DILI from 1991 to 2020: A 30-year bibliometric analysis

Science Progress ◽

10.1177/00368504211000535 ◽

2021 ◽

Vol 104 (1) ◽

pp. 003685042110005

Author(s):

Mingnan Cao ◽

Li Wang ◽

Lin Zhang ◽

Jingli Duan

Keyword(s):

Bibliometric Analysis ◽

Research Collaboration ◽

Citation Networks ◽

Publication Trends ◽

Drug Induced ◽

Topic Area ◽

The Past ◽

Black Box Warnings ◽

The Usa ◽

Post Marketing

Drug-induced liver injury (DILI) is one of the common adverse drug reactions and the leading cause of drug development attritions, black box warnings, and post-marketing withdrawals. Current biomarkers are suboptimal in detecting DILI and predicting its outcome. This study aimed to quantitatively and qualitatively investigate the research trends on DILI biomarkers using bibliometric analysis. All relevant publications were extracted from the Web of Science database. An online analysis platform of literature metrology, bibliographic item co-occurrence matrix builder, and CiteSpace software were used to analyze the publication trends. CitNetExplorer was used to construct direct citation networks and VOSviewer was used to analyze the keywords and research hotspots. We found a total of 485 publications related to DILI biomarkers published from 1991 to 2020. Toxicological Sciences had been the most popular journal in this field over the past 30 years. The USA maintained a top position worldwide and provided a pivotal influence, followed by China. Among all the institutions, the University of Liverpool was regarded as a leader for research collaboration. Moreover, Professors Paul B. Watkins and Tsuyoshi Yokoi made great achievements in topic area. We analyzed the citation networks and keywords, therefore identified five and six research hotspot clusters, respectively. We considered the publication information regarding different countries/regions, organizations, authors, journals, et al. by summarizing the literature on DILI biomarkers over the past 30 years. Notably, the subject of DILI biomarkers is an active area of research. In addition, the investigation and discovery of novel promising biomarkers such as microRNAs, keratin18, and bile acids will be future developing hotspots.

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