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Altmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields. 相似文献
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在科普信息化不断推进的当下,为探究我国微信科普的发展现状,从科学计量的视角对我国典型科普微信公众号进行量化研究,通过对其科普信息在推送频次、传播内容和传播效果等方面的特点分析,探究社交媒体时代科普信息在微信平台的传播路径。研究表明,微信公众号在科普信息推送方面有较高的活跃度,且不同公众号有各自的运营模式;在科普内容方面信息更加多元化,除注重知识的科普外,还传播文化、新闻等类型的相关科普信息;在科普效果方面,受众关注度与参与性逐步提高,整体积极向好,但还有待提高。 相似文献
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Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives 总被引：1，自引：0，他引：1
This study examines the longitudinal trend of systemness in networked research relations in South Korea using a triple helix (TH) indicator of university-industry-government (UIG) relations. The data were harvested from the Science Citation Index (SCI) and its counterparts in the social sciences (SSCI) and the arts and humanities (A&HCI). The total number of Korean SCI publications has grown rapidly since 1965. However, the TH indicator shows that the network dynamics have varied considerably according to the research policies of the national government. The collaboration patterns, as measured by co-authorship relations in the SCI noticeably increased, with some variation, from the mid-1970s to the mid-1990s. However, inter-institutional collaboration in the first decade of the 21st century was negatively influenced by the new national science and technology (S&T) research policies that evaluated domestic scientists and research groups based on their international publication numbers rather than on the level of cooperation among academic, private, and public domains. The results reveal that Korea has failed to boost its national research capacity by neglecting the network effects in science, technology, and industry. 相似文献
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1988年我国主要中文科技期刊论文的统计与分析 总被引：8，自引：0，他引：8
为了全面了解我国科技发展的水平和准备编制中国论文引文索引以进行引证分析工作,从1988年全国3052种自然科学技术类期刊中精选具有代表性的1189种期刊作为统计源,选取论文85750篇进行统计分析。每篇论文作为一条数据,其项目包括刊名、年卷期、作者姓名、单位及类别、所在地、论文所属学科类别、文题、基金资助情况、文后引文数量等11项检索项目,并利用dBASE程序建库。分析结果:北京(14272篇)、上海(8187篇)、江苏(7058)、四川(5091篇)、湖北(4718篇)为发表论文数的前五名。在28个学科分类中,北京有23个名列第一。黑龙江省发表石油、天然气的论文最多,江苏省发表轻纺技术论文领先,辽宁省的矿业工程论文居全国第一,上海和湖北分别发表动力工程和水利技术论文最多。85750篇论文中工业技术类论文占46.32％,农林类占11.88％,基础科学占22.44％,医药类占17.58％。高等院校发表的论文占总量的51.77％,科研院所占25.95％。通过多种基金资助的论文占总量的4.4％,其中基础学科的论文占基础理论论文总量的10％以上。平均每篇文章引文数为5.4篇。 相似文献
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科学计量学在科学基金管理中的应用 总被引：8，自引：0，他引：8
本文讨论了将科学计量学应用于科学基金管理应注意的三个环节：一、解决什么问题；二、选择什么指标，采集何种数据；三、科学计量模型建构与计量结果解释。结合若干关于国家自然科学基金管理的科学计量学研究实例进行了讨论 相似文献
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The present work investigates the relations between amplitude and type of collaboration (intramural, extramural domestic or international) and output of specialized versus diversified research. By specialized or diversified research, we mean within or beyond the author’s dominant research topic. The field of observation is the scientific production over five years from about 23,500 academics. The analyses are conducted at the aggregate and disciplinary level. The results lead to the conclusion that in general, the output of diversified research is no more frequently the fruit of collaboration than is specialized research. At the level of the particular collaboration types, international collaborations weakly underlie the specialized kind of research output; on the contrary, extramural domestic and intramural collaborations are weakly associated with diversified research. While the weakness of association remains, exceptions are observed at the level of the individual disciplines. 相似文献
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This paper stems from the observation that researchers in different fields tend to publish in different journals. Such a relationship between researchers and journals is quantitatively exploited to identify scientific community clusters, by casting the community detection problem into a co-clustering problem on bipartite graphs. Such an approach has the potential of leading not only to the fine- grained detection of scholar communities based on the similarity of their research activity, but also to the clustering of scientific journals based on which are the most representative of each community. The proposed methodology is purely data-driven and completely unsupervised, and does not rely on any semantics (e.g. keywords or a-priori subjective categories). Moreover, unlike “flat” data structures (e.g. collaboration graphs or citation graphs) our bipartite graph approach blends in a joint structure both the researcher's attitude and interests (i.e., freedom to select the venue where to publish) as well as the community's recognition (i.e., acceptance of the publication on a target journal); as such may perhaps inspire further scientometric evaluation strategies. Our proposed approach is applied to the Italian research system, for two broad areas (ICT and Microbiology&Genetics), and reveals some questionable aspects and community overlaps in the current Italian scientific sectors classification. 相似文献
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本文以Scientometrics 1991—2010年间刊载的2,045篇论文作为数据样本,分两个时间段研究这20年间科学计量学的知识结构与演进状况,并以此来研究作者文献耦合分析法（ABCA）与作者关键词耦合分析法（AKCA）在揭示学科领域知识结构方面的异同。研究发现,2001—2010年间的科学计量学的知识结构要比1991—2000年间的更加清晰明朗,其研究主题之间更为亲密,相互作用力明显要强。作者排名相关分析、研究主题探测、余弦相似度计算、研究主题变迁等均显示,AKCA与ABCA存在高度相关性;通过因子分析的模型拟合、研究主题的探测与变迁分析,又显示二者略有不同,ABCA可以探寻到比AKCA更多的研究主题,AKCA比ABCA能显示更多的信号来反映学科的技术突破以及研究前沿的进展。因此ABCA与AKCA不可互相替代,二者结合起来是探寻学科知识结构及其发展的理想研究方法。图4。表6。参考文献25。 相似文献