Unveiling transplantation research productivity of United States: A bibliometric analysis

BACKGROUND The United States has witnessed significant advancements in the field of organ transplantation over the course of the last five decades,as demonstrated by a notable increase in the quantity of academic research.The presence of a highly dynamic research environment necessitates continuous evaluations to maintain the integrity and progress of the field.AIM To evaluate the total output and thematic emphasis of transplant research conducted in the United States.METHODS On January 10,2023,we conducted a bibliometric search of United States research output in transplantation journals from the Web of Science database's Science Citation Index Expanded.We excluded editorials,meeting abstracts,and other non-article types.We analyzed annual trends,authors,institutions,articles,keywords,and countries collaborating with the United States,using VOSviewer 1.6.18 to create figures and tables.RESULTS The United States published 25956 papers(3078 reviews and 22878 articles)representing 37.7%of the world's scientific output.Canada emerged as the top collaborator with the United States,co-authoring 1263 articles.Leading institutions in United States transplantation research were the University of Pittsburgh(1749 articles),Mayo Clinic(1605 articles),Harvard Medical School(1549 articles),and Johns Hopkins University(1280 articles).The top three keywords with over 2000 occurrences were"recipients,""survival,"and"outcomes,"indicating a focus on graft and recipient outcome markers by United States researchers.CONCLUSION Our findings demonstrate the United States leadership in organ transplantation research,contributing significantly to the global scientific output in this field.However,opportunities exist for fostering expansive partnerships,particularly with developing countries.This study provides valuable insights into the transplantation research landscape in the United States,emphasizing the importance of ongoing evaluations to maintain and propel advancements in this critical medical discipline.The results may facilitate future collaborations,knowledge exchange,and the pursuit of innovative solutions in the realm of organ transplantation.

Scientometric Analysis of Research Output from Brazil in Response to the Zika Crisis Using e-Lattes

Purpose:This paper aims to test the use of e-Lattes to map the Brazilian scientific output in a recent research health subject:Zika Virus.Design/methodology/approach:From a set of Lattes CVs of Zika researchers registered on the Lattes Platform,we used the e-Lattes to map the Brazilian scientific response to the Zika crisis.Findings:Brazilian science articulated quickly during the public health emergency of international concern(PHEIC)due to the creation of mechanisms to streamline funding of scientific research.Research limitations:We did not assess any dimension of research quality,including the scientific impact and societal value.Practical implications:e-Lattes can provide useful guidelines for different stakeholders in research groups from Lattes CVs of members.Originality/value:The information included in Lattes CVs permits us to assess science from a broader perspective taking into account not only scientific research production but also the training of human resources and scientific collaboration.

New Index for Quantifying an Individual＇s Scientific Research Output

Classifying researchers＇ work according to the quality of their publications rather than the quantity of their publications is an important issue. To this end we introduce a new measure, the ＂percentage range＂ or A-index, which provides a qualitative evaluation of a researchers＇ productivity. The percentage range depends to a great extent on the number of single-author published papers and their citations. It is to be a new index to be considered along with the h-index. The combined factors have the advantage of making clearer the innovation of the individual authors. The resultant percentage range gives a reduced impact on its numerical value for authors who gain citations by adding their names on multi-author papers. It is shown that various dimensions of ethical integrity and originality are clarified by the new index. The important scenarios arising from this analysis are demonstrated with examples, The great differences between the new percentage range and old h-index come from the percentage range＇s emphasis on considering the whole work of an author, including the significance of the author＇s single-author papers as opposed to multiple-author contributions. This emphasis is demonstrated.

Canonical Workflow for Experimental Research

The overall expectation of introducing Canonical Workflow for Experimental Research and FAIR digital objects(FDOs)can be summarised as reducing the gap between workflow technology and research practices to make experimental work more efficient and improve FAIRness without adding administrative load on the researchers.In this document,we will describe,with the help of an example,how CWFR could work in detail and improve research procedures.We have chosen the example of"experiments with human subjects"which stretches from planning an experiment to storing the collected data in a repository.While we focus on experiments with human subjects,we are convinced that CWFR can be applied to many other data generation processes based on experiments.The main challenge is to identify repeating patterns in existing research practices that can be abstracted to create CWFR.In this document,we will include detailed examples from different disciplines to demonstrate that CWFR can be implemented without violating specific disciplinary or methodological requirements.We do not claim to be comprehensive in all aspects,since these examples are meant to prove the concept of CWFR.

Reproducible Research Publication Workflow:A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output

In this paper we present the Reproducible Research Publication Workflow(RRPW)as an example of how generic canonical workflows can be applied to a specific context.The RRPW includes essential steps between submission and final publication of the manuscript and the research artefacts(i.e.,data,code,etc.)that underlie the scholarly claims in the manuscript.A key aspect of the RRPW is the inclusion of artefact review and metadata creation as part of the publication workflow.The paper discusses a formalized technical structure around a set of canonical steps which helps codify and standardize the process for researchers,curators,and publishers.The proposed application of canonical workflows can help achieve the goals of improved transparency and reproducibility,increase FAIR compliance of all research artefacts at all steps,and facilitate better exchange of annotated and machine-readable metadata.

Booming research publications in China

China has become a leading powerhouse in global research community.The boom of scientific and technical papers published by Chinese researchers in terms of both quantity and quality has been well received.However,concerns have been raised on current publication drives.

Analysis on the differences in the development of basic researchers in the field of Al in China

Artificial intelligence(AI)is an important driving force in the new round of scientific and technological revolution and industrial transformation,China must grasp the opportunity to its development.Basic researcher's ability was the inexhaustible driving force to promote the long-term development of AI.The paper focused on 2763 AI researchers who engaged in basic research.The paper analyzed the differences in city distribution and research direction of this group in China,and further explored the influence of different cities on research output,as well as the interactive influence between city and institution on their research output.The study found that there was a prominent phenomenon of aggregation of AI basic researchers in China,and their research fields were mainly focused on machine learning,computer vision,patterm recognition and data mining.The economic level of the city had a positive impact on the paper output and the project undertaken by researchers.The development vitality of the city had a positive impact on the researchers'patent output.The high-quality platform of the institution would make up for the disadvantages caused by the city's lower economy.Therefore,in China,it was necessary to determine the development orientation of cities at different levels so that they could play different roles in the industrial development.Economically underdeveloped cities should allocate resources rationally,enhance the deep cooperation between non-first-class institutions and local AI enterprises,and provide a good scientific research ecological environment for the growth of local AI basic researchers.