Profiling citation impact: A new methodology

Profiling citation impact: A new methodology
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DOI:
10.1007/s11192-007-1696-x
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发表时间:
2007-08-01
期刊:
影响因子:
3.9
通讯作者:
Marshall, Stuart
Marshall, Stuart
中科院分区:
管理学3区
文献类型:
--
作者:
Adams, Jonathan;Gurney, Karen;Marshall, Stuart

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本文描述了一种创建文献计量影响力概况的方法。讨论了这种概况作为一种管理工具的优势,它可补充传统平均影响力指标的报告能力。英国整体的影响力概况揭示了英国影响力的中位数和众数与平均影响力的差异程度,且明显低于平均影响力。1995 - 2004年,英国只有三分之一的产出高于世界平均影响力,尽管英国的世界标准化平均影响力为1.24。按时间分类的影响力概况被用于检验有关影响力变化的假设,并证实英国平均影响力的提高是由于实际的改善,而非低影响力产出的减少。影响力概况方法已应用于不同学科和年份,且在所有学科类别中均表现良好。它揭示了不同学科之间绩效的显著差异。计算概况中位数、众数以及平均影响力的价值得到了证明。最后,该方法应用于一个特定的数据集,以比较精英分子生物学实验室(剑桥)的影响力概况与英国相关平均水平。这通过确定该研究所卓越表现的所在之处,展示了该方法的一种应用。影响力概况的价值在于它们作为非专业人士的解释辅助工具的作用,而非针对科学计量学家的数据技术转换。
A methodology for creating bibliometric impact profiles is described. The advantages of such profiles as a management tool to supplement the reporting power of traditional average impact metrics are discussed. The impact profile for the UK as a whole reveals the extent to which the median and modal UK impact values differ from and are significantly below average impact. Only one-third of UK output for 1995-2004 is above world average impact although the UK's average world-normalised impact is 1.24.Time-categorised impact profiles are used to test hypotheses about changing impact and confirm that the increase in average UK impact is due to real improvement rather than a reduction in low impact outputs.The impact profile methodology has been applied across disciplines as well as years and is shown to work well in all subject categories. It reveals substantial variations in performance between disciplines. The value of calculating the profile median and mode as well as the average impact are demonstrated. Finally, the methodology is applied to a specific data-set to compare the impact profile of the elite Laboratory of Molecular Biology (Cambridge) with the relevant UK average. This demonstrates an application of the methodology by identifying where the institute's exceptional performance is located.The value of impact profiles lies in their role as an interpretive aid for non-specialists, not as a technical transformation of the data for scientometricians.