Tracing scientist’s research trends realtimely

Xianwen Wang,Zhi Wang, Shenmeng Xu  

   Abstract In this research, we propose a method to trace scientist’s research trends realtimely. By monitoring the downloads of scientific articles in the journal of Scientometrics for 744 h, namely one month, we investigate the download statistics. Then we aggregate the keywords in these downloaded research papers, and analyze the trends of article downloading and keyword downloading. Furthermore, taking both the downloads of keywords and articles into consideration, we design a method to detect the emerging research trends. We find that in scientometrics field, social media, new indices to quantify scientific productivity (g-index), webometrics, semantic, text mining, and open access areemerging fields that scientometrics researchers are focusing on.

(本研究提出了一种实时跟踪科研趋势的方法。通过对《科学计量学》期刊被下载的数据进行了统计分析。研究过程中，综合考虑了论文下载和关键词下载，设计了一种发现潜在研究趋势的方法。研究发现，在科学计量学领域，社会媒体、科研生产定量指标（G指数）、网络计量学、语义、文本挖掘和开放存取是科学计量学研究人员关注的热点问题。)

Keywords：Research trend Altmetrics Springer Realtime Scientometrics Download

  除方法外，本文还提供了一个可以利用论文被下载数据展开研究的数据源：Realtime.springer.com。

http://realtime.springer.com/ 

    国内的数据库服务商已经拥有的海量的数据，但在数据二次加工的层面，与国外相比还有许多工作要做。当然，这一块中国知网做的不错，提供了不少免费且适用的工具，如学术图片、翻译助手、学术定义等。

About

 Realtime.springer.com is a service that aggregates together downloads of Springer journal articles and book chapters in real time and displays them in a variety of visualizations. The goal of this service is to provide the scientific community with valuable information about how the literature is being used "right now".

 Having access to information about how content is being used right now can yield valuable insight into what topics are trending at the moment, what areas of the world are currently looking at what type of content, and what overall keywords are popular at the moment. Realtime's ability to alter the reporting window from "last 7 days" to "last 30" or "last 90" days gives you added insight into how these patterns are changing over time.

 Realtime currently receives feeds from: SpringerLink, SpringerImages, and SpringerProtocols. For SpringerLink and SpringerProtocols, any time a user downloads the PDF or HTML version of an article, chapter, or protocol, a message is sent in real time from those sites to realtime.springer.com. For images, a "download" is counted when a user is shown the full version of an Image Details page. In this case, we register a "download" from SpringerImages of the article or chapter that the image came from.

 It's important to note that historical data is not stored on realtime.springer.com, and because there is some processing of logs done before COUNTER reports are generated (to do things like filter out robotic activity and ensure consistent session definitions), the statistics on this service will not match exactly with statistics provided in final, processed COUNTER reports. The data on this site is not intended to be used for reporting purposes, but intended to give you an overall picture of all the usage that is being generated by Springer's online products.

转引自：http://realtime.springer.com/about

By now, many publishing groups offer evaluated tools for altmetrics. Realtime tool inSpringer, Altmetric APP and Mostdownloaded APP in Elsevier are good examples. Inaddition, some journals and organizations provide instant analysis results of altmetrics,such as Article-Level Metrics (http://www.jmir.org/stats/overview) in Journal of MedicalInternet Research, Top Downloaded Articles (http://www.stemcells.com/view/0/topdownloaded.html) in Stem Cells, Download statistics (http://discovery.ucl.ac.uk/past-statistics.html) in UCL Discovery, and PLoS Impact Explorer in PloS(http://altmetric.com/demos/plos.html), etc.（摘自上面提及的论文）