Representation of cancer in the medical literature--a bibliometric analysis.
Representation of cancer in the medical literature--a bibliometric analysis.
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DOI：
10.1371/journal.pone.0013902
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发表时间：
2010-11-09
期刊：
影响因子：
3.7
通讯作者：
Sweeney KJ
中科院分区：
文献类型：
--
作者：
Glynn RW;Chin JZ;Kerin MJ;Sweeney KJ
目前还缺乏与个别癌症类型有关的科学产量的数量和质量方面的知识。我们的目的是衡量肿瘤学相关文章的比例、质量和相关性，并将这一产出与相关疾病负担联系起来。通过将影响因子（IF）和特征因子（EF）纳入我们的分析，我们还评估了这些指标与所研究产出之间的关系。检索了2007年所有关于26种最常见癌症的出版物。我们分析了由IF和EF在普通医学和肿瘤学领域排名前20位的期刊，以及这些期刊中每种恶性肿瘤的存在。对每种癌症发表最多的期刊进行了鉴定，并对其影响进行了评估。PubMed生成63260条，WoS生成126845条。26种肿瘤占顶级医学出版物总产出的25%。5种癌症在顶级肿瘤学期刊的产出中占据前四分之一；乳腺癌、前列腺癌、肺癌、肠癌和白血病。与研究中的其他癌症类型相关的期刊相比，与这些癌症相关的期刊的IFs和EFs要高得多，尽管这些指标在所有亚专科中并不相同。此外，每一种癌症的产量都与其发病率和流行率所衡量的疾病负担有关。肿瘤学在更有声望的医学期刊上享有不成比例的代表性。5种癌症的产量占主导地位，尽管考虑到它们相关的疾病负担，这种关注是合理的。常用的影响因子和最近引入的影响因子在评估优秀肿瘤学期刊和个别恶性肿瘤水平上没有相关性；在评估产出的优点时，有必要在质量的替代措施和产出的相关性之间进行界定。这些结果提出了关于评估肿瘤领域研究和科学产出的最佳方法的重要问题。
There exists a lack of knowledge regarding the quantity and quality of scientific yield in relation to individual cancer types. We aimed to measure the proportion, quality and relevance of oncology-related articles, and to relate this output to their associated disease burden. By incorporating the impact factor(IF) and Eigenfactor™(EF) into our analysis we also assessed the relationship between these indices and the output under study. All publications in 2007 were retrieved for the 26 most common cancers. The top 20 journals ranked by IF and EF in general medicine and oncology, and the presence of each malignancy within these titles was analysed. Journals publishing most prolifically on each cancer were identified and their impact assessed. 63260 (PubMed) and 126845 (WoS) entries were generated, respectively. 26 neoplasms accounted for 25% of total output from the top medical publications. 5 cancers dominated the first quartile of output in the top oncology journals; breast, prostate, lung, and intestinal cancer, and leukaemia. Journals associated with these cancers were associated with much higher IFs and EFs than those journals associated with the other cancer types under study, although these measures were not equivalent across all sub-specialties. In addition, yield on each cancer was related to its disease burden as measured by its incidence and prevalence. Oncology enjoys disproportionate representation in the more prestigious medical journals. 5 cancers dominate yield, although this attention is justified given their associated disease burden. The commonly used IF and the recently introduced EF do not correlate in the assessment of the preeminent oncology journals, nor at the level of individual malignancies; there is a need to delineate between proxy measures of quality and the relevance of output when assessing its merit. These results raise significant questions regarding the best method of assessment of research and scientific output in the field of oncology.
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影响因子：
4.8
作者：
Falagas, Matthew E.;Pitsouni, Eleni I.;Pappas, Georgios
通讯作者：
Pappas, Georgios
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
Pollock, AM
影响因子：
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作者：
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通讯作者：
Warlow, CP
影响因子：
3.7
作者：
Lopez-Illescas, Carmen;de Moya-Anegon, Felix;Moed, Henk F.
通讯作者：
Moed, Henk F.