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使用H指数和其他文献计量指标评估猪病研究生产力成果。

Use of H-Index and Other Bibliometric Indicators to Evaluate Research Productivity Outcome on Swine Diseases.

作者信息

Díaz Ivan, Cortey Martí, Olvera Àlex, Segalés Joaquim

机构信息

IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain.

Institut de Recerca de la Sida, IrsiCaixa-HIVACAT, Carretera del Canyet, s/n, 08916 Badalona, Spain.

出版信息

PLoS One. 2016 Mar 1;11(3):e0149690. doi: 10.1371/journal.pone.0149690. eCollection 2016.

Abstract

H-index is the most commonly applied tool to evaluate scientific productivity. In this study, the use of the H-index to evaluate scientific production in swine veterinary medicine was explored. A database of 137 pig infectious agents was constructed, including its taxonomic division, zoonotic potential, status as emerging pathogen and whether it was OIE-listed. The H-index and the total number of citations were calculated for those pathogens, the location of the affiliation of the first author of each paper included in the H-index core was registered and, for the ten pathogens with the highest H-index, evolution over time was measured. H-index values were compared to the M quotient, A-index, G-index, HG-index and the G/H ratio. H-indices were found to be severely affected by search accuracy and the database was hand curated. Swine pathogen H-indexes were highly dispersed ranging from 0 to 106 and were generally higher for pathogens causing endemic diseases in large pig producing countries. Indeed, the three top pathogens were Escherichia coli, Porcine reproductive and respiratory syndrome virus and Porcine circovirus type 2 with H-indices 106, 95 and 85, respectively. H-indices of viruses and bacteria were significantly higher (P<0.001) than other pathogen types. Also, non-zoonotic pathogens had higher H-indices than zoonotic pathogens (p<0.009) while no differences could be found for being listed by the OIE. For emerging diseases, only non-emerging viruses had higher H-index (p = 0.02). The study of H-indexes over time revealed three general patterns and that they had increased mainly after the 1980's. As expected, there were strong geographic patterns in terms of authorship and North America (38%) and Europe (46%) coped the majority of the papers. Finally, in order to quantify the contribution of a subject to a specific field, a new index "Deciphering Citations Organized by Subject" (Dcos) is proposed.

摘要

H指数是评估科研生产力最常用的工具。在本研究中,探讨了使用H指数评估猪兽医学领域的科研成果。构建了一个包含137种猪传染病原体的数据库,内容包括其分类、人畜共患病潜力、新兴病原体状况以及是否被世界动物卫生组织(OIE)列入名单。计算了这些病原体的H指数和总被引次数,记录了H指数核心部分所包含每篇论文第一作者所属机构的所在地,并针对H指数最高的十种病原体测量了随时间的演变情况。将H指数值与M商数、A指数、G指数、HG指数和G/H比率进行了比较。发现H指数受到搜索准确性的严重影响,且该数据库是人工筛选的。猪病原体的H指数高度分散,范围从0到106,对于在大型生猪生产国家引起地方病的病原体,其H指数通常更高。实际上,排名前三的病原体分别是大肠杆菌、猪繁殖与呼吸综合征病毒和猪圆环病毒2型,H指数分别为106、95和85。病毒和细菌的H指数显著高于其他病原体类型(P<0.001)。此外,非人畜共患病原体的H指数高于人畜共患病原体(p<0.009),而在是否被OIE列入名单方面未发现差异。对于新兴疾病,只有非新兴病毒具有更高的H指数(p = 0.02)。对H指数随时间的研究揭示了三种总体模式,且它们主要在20世纪80年代后有所增加。正如预期的那样,在作者身份方面存在很强的地域模式,北美(38%)和欧洲(46%)撰写了大部分论文。最后,为了量化一个主题对特定领域的贡献,提出了一个新的指数“按主题组织的解密引用”(Dcos)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/4773010/3bca926bad20/pone.0149690.g001.jpg

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