Please wait a minute...
New Technology of Library and Information Service  2001, Vol. 17 Issue (1): 41-44    DOI: 10.11925/infotech.1003-3513.2001.01.10
Current Issue | Archive | Adv Search |
Study on Retrieval Details of Three SCI Electronic Versions
Gu Xueqiang   Liu Shuren
(Tsinghua University Library, Beijing)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper compares the basic retrieval methods of the three SCI versions-CD, web and dialog online. The features of each version are studied. So readers could select the different versions according to this paper.

Key wordsSCI      Science citation index      Computer retrieval     
Received: 28 May 2000      Published: 25 February 2001
ZTFLH: 

G354.2

 
Corresponding Authors: Gu Xueqiang,Liu Shuren   
About author:: Gu Xueqiang,Liu Shuren

Cite this article:

Gu Xueqiang,Liu Shuren. Study on Retrieval Details of Three SCI Electronic Versions. New Technology of Library and Information Service, 2001, 17(1): 41-44.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2001.01.10     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2001/V17/I1/41

1韩丽风、郑晓惠.SCI网络版评介.现代图书情报技术.1999,(6):47~48
2 http://167.216.248.130
3 http://www.isinet.com

[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Xu Zengxulin, Xie Jing, Yu Qianqian. Designing New Evaluation Model for Talents[J]. 数据分析与知识发现, 2021, 5(8): 122-131.
[3] Chai Qingfeng, Shi Linyan, Mei Shan, Xiong Haitao, He Huixin. Extracting Knowledge Elements of Sci-Tech Literature Based on Artificial and Machine Features[J]. 数据分析与知识发现, 2021, 5(8): 132-144.
[4] Wang Qinjie, Qin Chunxiu, Ma Xubu, Liu Huailiang, Xu Cunzhen. Recommending Scientific Literature Based on Author Preference and Heterogeneous Information Network[J]. 数据分析与知识发现, 2021, 5(8): 54-64.
[5] Zhang Xin,Wen Yi,Xu Haiyun. A Prediction Model with Network Representation Learning and Topic Model for Author Collaboration[J]. 数据分析与知识发现, 2021, 5(3): 88-100.
[6] Shen Si,Li Qinyu,Ye Yuan,Sun Hao,Ye Wenhao. Topic Mining and Evolution Analysis of Medical Sci-Tech Reports with TWE Model[J]. 数据分析与知识发现, 2021, 5(3): 35-44.
[7] He Xueyao, Ma Tingcan, Yue Mingliang, Ou Guiyan. Analyzing Highly Cited Papers Sponsored by National Natural Science Foundation of China[J]. 数据分析与知识发现, 2021, 5(2): 61-69.
[8] Li Xiao, Qu Jiansheng. Review of Application and Evolution of Meta-Analysis in Social Sciences[J]. 数据分析与知识发现, 2021, 5(11): 1-12.
[9] Chen Shiji, Qiu Junping, Yu Bo. Topic Analysis of LIS Big Data Research with Overlay Mapping[J]. 数据分析与知识发现, 2021, 5(10): 51-59.
[10] Yu Shuo,Hayat Dino Bedru,Chu Xinbei,Yuan Yuyuan,Wan Liangtian,Xia Feng. Understanding Serendipity in Science: A Survey[J]. 数据分析与知识发现, 2021, 5(1): 16-35.
[11] Li Gang, Guan Weidong, Ma Yaxue, Mao Jin. Predicting Social Media Visibility of Scholarly Articles[J]. 数据分析与知识发现, 2020, 4(8): 63-74.
[12] Wang Xinyun,Wang Hao,Deng Sanhong,Zhang Baolong. Classification of Academic Papers for Periodical Selection[J]. 数据分析与知识发现, 2020, 4(7): 96-109.
[13] Hu Yongjun,Wei Tingting,Dou Zixin,Huang Yunyin,Liang Ruicheng,Chang Huiyou. Tech-Development Path of Knife-Scissor Industry in Guangdong with TRIZ Analysis of Patents[J]. 数据分析与知识发现, 2020, 4(2/3): 101-109.
[14] Shi Hongbo,Guo Hongmei,Yue Ting,Qian Li,Huang Dingyu,Chang Zhijun. Developing Modularity Scientometrics System with Distributed Technology[J]. 数据分析与知识发现, 2020, 4(2/3): 231-238.
[15] Hong Pan,Li Tang. Qualitative Data Analysis in Chinese Social Science Studies——The Case of Nvivo[J]. 数据分析与知识发现, 2020, 4(1): 51-62.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn