在氯化水中游泳与儿童哮喘的文献选择性引用:网络分析。

IF 7.2 Q1 ETHICS
Research integrity and peer review Pub Date : 2017-10-02 eCollection Date: 2017-01-01 DOI:10.1186/s41073-017-0041-z
Bram Duyx, Miriam J E Urlings, Gerard M H Swaen, Lex M Bouter, Maurice P Zeegers
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引用次数: 5

摘要

背景:知识的发展依赖于对现有证据的公正表述。选择性引用可能会扭曲这种表述。最近,关于游泳对儿童哮喘的可能影响出现了一些争议,提出了关于选择性引用在该领域的作用的问题。我们的目的是评估科学出版物中关于在氯化泳池游泳与儿童哮喘之间关系的选择性引用的发生率和决定因素。方法:通过系统的文献检索,我们找到了关于这种关系的科学期刊文章。考虑了以下因素:研究结果(作者结论、基于数据的结论)、其他与内容相关的文章特征(文章类型、样本量、研究质量、专一性)、与内容无关的文章特征(语言、出版名称、资金来源、作者数量、隶属机构数量、参考文献数量、期刊影响因子)、作者特征(性别、国家、隶属机构)和引用特征(引用时间、权威、自引)。为了评估这些因素对引文的影响,我们以潜在的引文路径为分析单位,进行了一系列单变量和调整后的随机效应逻辑回归。结果:该网络共识别出36篇文章,570条潜在被引路径,其中191条(34%)被实现。有强有力的证据表明,至少有一个共同作者的文章比没有共同作者的文章更常被引用(优势比(OR) 5.2, 95%可信区间(CI) 3.1-8.8)。同样,经证性文章被引用的几率比叙述性文章高(OR 4.2, CI 2.6-6.7),报告样本量大(OR 5.8, CI 2.9-11.6),并且作者在网络中具有很高的权威(OR 4.1, CI 2.1-8.0)。此外,还有一些证据表明存在引文偏倚:证实游泳和哮喘之间关系的文章被引用的频率更高(OR 1.8, CI 1.1-2.9),但这一发现并不稳健。结论:本研究领域存在明显的选择性被引证据,但存在引文偏倚的证据并不强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Selective citation in the literature on swimming in chlorinated water and childhood asthma: a network analysis.

Selective citation in the literature on swimming in chlorinated water and childhood asthma: a network analysis.

Background: Knowledge development depends on an unbiased representation of the available evidence. Selective citation may distort this representation. Recently, some controversy emerged regarding the possible impact of swimming on childhood asthma, raising the question about the role of selective citation in this field. Our objective was to assess the occurrence and determinants of selective citation in scientific publications on the relationship between swimming in chlorinated pools and childhood asthma.

Methods: We identified scientific journal articles on this relationship via a systematic literature search. The following factors were taken into account: study outcome (authors' conclusion, data-based conclusion), other content-related article characteristics (article type, sample size, research quality, specificity), content-unrelated article characteristics (language, publication title, funding source, number of authors, number of affiliations, number of references, journal impact factor), author characteristics (gender, country, affiliation), and citation characteristics (time to citation, authority, self-citation). To assess the impact of these factors on citation, we performed a series of univariate and adjusted random-effects logistic regressions, with potential citation path as unit of analysis.

Results: Thirty-six articles were identified in this network, consisting of 570 potential citation paths of which 191 (34%) were realized. There was strong evidence that articles with at least one author in common, cited each other more often than articles that had no common authors (odds ratio (OR) 5.2, 95% confidence interval (CI) 3.1-8.8). Similarly, the chance of being cited was higher for articles that were empirical rather than narrative (OR 4.2, CI 2.6-6.7), that reported a large sample size (OR 5.8, CI 2.9-11.6), and that were written by authors with a high authority within the network (OR 4.1, CI 2.1-8.0). Further, there was some evidence for citation bias: articles that confirmed the relation between swimming and asthma were cited more often (OR 1.8, CI 1.1-2.9), but this finding was not robust.

Conclusions: There is clear evidence of selective citation in this research field, but the evidence for citation bias is not very strong.

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