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肺动脉高压:科学计量学分析与密度均衡映射

Pulmonary Hypertension: Scientometric Analysis and Density-Equalizing Mapping.

作者信息

Götting Michael, Schwarzer Mario, Gerber Alexander, Klingelhöfer Doris, Groneberg David A

机构信息

Division of Health Economics and Metrics, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany.

Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe Universität Frankfurt, Frankfurt, Germany.

出版信息

PLoS One. 2017 Jan 4;12(1):e0169238. doi: 10.1371/journal.pone.0169238. eCollection 2017.

DOI:10.1371/journal.pone.0169238
PMID:28052133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5215006/
Abstract

Pulmonary hypertension (PH) is characterized by the increase of the mean pulmonary arterial pressure in the lung circulation. Despite the large number of experimental and clinical studies conducted on pulmonary hypertension, there is no comprehensive work that analyzed the global research activity on PH so far. We retrieved the bibliometric data of the publications on pulmonary hypertension for two periods from the Web of science database. Here, we set the first investigation period from 1900 to 2007 (t1) due to the cited half life of articles and the relating difficulties to interpret the citation parameters. The second evaluation period (t2) covers the time interval from 2008 onwards including the year 2015. The data were analyzed and processed to density-equalizing maps using the NewQIS platform. A total number of 18,986 publications were identified in t1 that come from 85 countries. The US published the highest number of publications (n = 7,290), followed by the UK, Germany, Japan and France. In t2 19,676 items could be found worked out by 130 countries. The raking started just the same with the USA as most publishing nation with 7,127 publications on PH, followed by the UK and Germany. Japan fell back on 6th place, whereas China came into view on the 5th position. Analyzing the average citation rate as a parameter for research quality, Mexico reached the highest value in t1 and Ireland in t2. While, the country specific h-index underlined the leading position of the US research in both evaluation periods again. The average number of international collaboration items was expanding from none in 1978 to 530 items in 2015 with the USA as the country with the highest number of collaboration articles. The present study is the first large scale density-equalizing mapping and scientometric analysis of global PH research activity. Our data draw a sketch of the global research architecture in this field, indicating a need for specific research programs in countries with a lower human development index.

摘要

肺动脉高压(PH)的特征是肺循环中平均肺动脉压升高。尽管针对肺动脉高压进行了大量的实验和临床研究,但迄今为止,尚无全面分析肺动脉高压全球研究活动的著作。我们从科学网数据库中检索了两个时期关于肺动脉高压出版物的文献计量数据。在此,由于文章的被引半衰期以及解释引文参数的相关困难,我们将第一个调查期设为1900年至2007年(t1)。第二个评估期(t2)涵盖从2008年起至2015年的时间间隔。使用NewQIS平台对数据进行分析和处理,以生成密度均衡图。在t1期间共识别出18986篇来自85个国家的出版物。美国发表的出版物数量最多(n = 7290),其次是英国、德国、日本和法国。在t2期间,共找到19676篇由130个国家完成的文献。排名情况与美国作为发表量最多的国家时一样,美国发表了7127篇关于肺动脉高压的出版物,其次是英国和德国。日本降至第6位,而中国跃居第5位。将平均被引率作为研究质量的参数进行分析,墨西哥在t1期间达到最高值,爱尔兰在t2期间达到最高值。同时,特定国家的h指数再次凸显了美国研究在两个评估期的领先地位。国际合作项目的平均数量从1978年的零增长到2015年的530项,美国是合作文章数量最多的国家。本研究是首次对全球肺动脉高压研究活动进行大规模密度均衡绘图和科学计量分析。我们的数据勾勒出了该领域全球研究架构的概况,表明人类发展指数较低的国家需要特定的研究项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/bc83bd773794/pone.0169238.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/e52b67cf5150/pone.0169238.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/eeac8df0e70b/pone.0169238.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/eb07394f0998/pone.0169238.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/4b68201fc956/pone.0169238.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/c57f12b363f3/pone.0169238.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/85d7e46e9efb/pone.0169238.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/bc83bd773794/pone.0169238.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/e52b67cf5150/pone.0169238.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/eeac8df0e70b/pone.0169238.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/eb07394f0998/pone.0169238.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/4b68201fc956/pone.0169238.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/c57f12b363f3/pone.0169238.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/85d7e46e9efb/pone.0169238.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa4/5215006/bc83bd773794/pone.0169238.g007.jpg

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