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Article age- and field-normalized tools to evaluate scientific impact and momentum
Scientometrics ( IF 3.9 ) Pub Date : 2021-02-25 , DOI: 10.1007/s11192-021-03877-3
Edgar D. Zanotto , Vinicius Carvalho

The Field Weighted Citation Index (FWCI) is an article age- and field-normalized metric to evaluate scientific visibility and impact. The Topic Prominence Percentile (TPP) is another parameter that allegedly measures an article’s “momentum.” Both are available at SciVal and are thought-provoking but have been scarcely used by the community, partially because it is very time-consuming to collect these parameters, paper by paper. In this article, we created and tested a computer code that can efficiently harvest the FWCI and TPP of articles of any chosen researcher, research group, or institution from the Scopus database. After collecting the desired data, our algorithm computes the sum, mean and standard deviation, mode, and median. It also calculates an alternative metric, proposed here, i.e., a normalized parameter that divides each FWCI by the number of authors of that article and then produces similar metrics. We first used the new algorithm to collect an article dataset from a selected researcher, used as an example, who has published 226 articles since 2000. The automated data collection task took 35 min versus 4 h manually. To demonstrate the power of this approach, we present the most relevant results. For instance, 20% of this researcher’s papers have achieved very high visibility, an FWCI ≥ 2. Surprisingly, however, his articles of the highest FWCI are not the most cited. His 20 oldest papers have a similar FWCI to the 20 newest, showing that his scientific output reached a steady-state long ago. Moreover, we discovered that the papers of the highest FWCI have a higher share (65%) of international collaborators than the articles of the lowest FWCI (< 40%). These results corroborate the well-known trend that international collaboration increases scientific visibility. To generalize these findings, we also successfully compared the FWCI statistics of several senior researchers and young investigators who work in diverse fields, revealing significant differences. This way, we demonstrated that the proposed computer code and resulting metrics provide a new scientometric tool. However, a drawback is that a significant fraction of the “topics” defined by SciVal does not perfectly fit the article’s field, which leads to errors in the computation of the FWCI. Therefore, while the FWCI is a handy parameter to evaluate and compare the scientific visibility and impact of researchers of any age and science field, reliable analyses will only be possible using an improved choice of topics.



中文翻译:

评估科学影响和势头的按年龄和领域归一化的文章

该 场加权引文索引(FWCI)是一篇文章年龄和现场标准化指标来评价科学的知名度和影响力。该 话题突显百分(TPP)是据称可衡量商品“动量”的另一个参数。两者都可以在SciVal上获得,并且令人发人深省,但社区很少使用它们,部分原因是逐纸收集这些参数非常耗时。在本文中,我们创建并测试了一种计算机代码,该代码可以从Scopus数据库中有效地收集任何选定的研究人员,研究组或机构的文章的FWCI和TPP。收集所需数据后,我们的算法将计算总和,均值和标准差,众数和中位数。它还计算此处提出的替代指标,即标准化参数,该参数将每个FWCI除以该文章的作者数量,然后产生相似的指标。我们首先使用新算法从选定的研究人员那里收集文章数据集,以一个示例为例,自2000年以来,他已发表了226篇文章。自动数据收集任务花费了35分钟,而人工花费了4小时。为了展示这种方法的强大功能,我们提出了最相关的结果。例如,该研究人员论文中有20%达到了很高的知名度,FWCI≥2。但是,令人惊讶的是,他的FWCI最高的文章并未得到最多引用。他的20篇最古老的论文的FWCI与20篇最新的相似,表明他的科学产出很早就达到了稳定状态。此外,我们发现,FWCI最高的论文在国际合作者中所占的比例更高(65%),而FWCI最低的论文所占比例(<40%)更高。这些结果证实了国际合作提高科学知名度这一众所周知的趋势。为了概括这些发现,我们还成功地比较了在不同领域工作的几位资深研究人员和年轻研究人员的FWCI统计数据,揭示出显着差异。这样,我们证明了建议的计算机代码和所得度量提供了一种新的科学计量工具。但是,缺点是SciVal定义的“主题”的很大一部分不能完全适合文章的领域,这会导致FWCI的计算错误。因此,尽管FWCI是评估和比较任何年龄和科学领域的研究人员的科学知名度和影响力的方便参数,但只有通过改进主题选择,才能进行可靠的分析。我们证明了建议的计算机代码和由此产生的度量标准提供了一种新的科学计量工具。但是,缺点是SciVal定义的“主题”的很大一部分不能完全适合文章的领域,这会导致FWCI的计算错误。因此,尽管FWCI是评估和比较任何年龄和科学领域的研究人员的科学知名度和影响力的方便参数,但只有通过改进主题选择,才能进行可靠的分析。我们证明了建议的计算机代码和由此产生的度量标准提供了一种新的科学计量工具。但是,缺点是SciVal定义的“主题”的很大一部分不能完全适合文章的领域,这会导致FWCI的计算错误。因此,尽管FWCI是评估和比较任何年龄和科学领域的研究人员的科学知名度和影响力的方便参数,但只有通过改进主题选择,才能进行可靠的分析。

更新日期:2021-02-26
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