查文献只能去Pubmed和万方？带你免费下文献！
查文献只能去Pubmed和万方？带你免费下文献！
导 语外文文献OA图书馆——Open Access Library，顾名思义，开放存取的图书馆。可以很方便地搜索6000多种期刊资料和5000多个Open Access的数据库资源。/#open-accessSciencedirect的所有免费存取文献都在这里，而且都是经过同行审议的。http://highwire.stanford.edu/lists/freeart.dtl世界上最大的免费的科学文献全文数据库网站之一,提供免费检索的期刊为181种，主要包括物理、生物、医学和社会学领域的核心期刊。https://doaj.org/Directory of Open Access Journals——有超过9000种期刊和2200000篇文献可供查阅。www.plos.orgPLOS是一家由众多诺贝尔奖得主和慈善机构支持的非赢利性学术组织，旨在推广世界各地的科学和医学领域的最新研究成果，PLoS出版了8种生命科学与医学领域的期刊，可以免费获取全文。中文文献www.ucdrs.superlib.net全国图书馆参考咨询联盟——当你在万方、维普、CNKI等各大数据库中找到的文献需要付费时，就来这里吧，只需将你的邮箱输入，便会有专业的图书馆人员发送。www.国家科技图书文献中心（NSTL）——根据国务院领导的批示于日组建的一个虚拟的科技文献信息服务机构，提供优质的文献检索和全文提供服务。www.中国国家数字图书馆——有大量文献可以查阅下载，但是需要实名注册。/上海研发公共服务平台开发的易文献——同样需要实名注册，会有万方、维普和CNKI的下载积分，积分用完时，只需回复邮件，便可再次获得积分。www.中国科技论文在线——经教育部批准，由教育部科技发展中心主办的，为了使新成果得到及时推广，科研创新思想得到及时交流的平台，这里有大量最新的研究文献，但是可能没有经过评审。友情提示PubMed Central中的文献都是可以免费下载的www.ncbi.nlm.nih.gov/pmc作者：中国足球，走向世界；来源：华医网
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TA的最新馆藏PubMed and beyond: a survey of web tools for searching biomedical literatureDatabase (Oxford)Lu, Z.
The past decade has witnessed the modern advances of high-throughput technology and rapid growth of research capacity in producing large-scale biological data, both of which were concomitant with an exponential growth of biomedical literature. This wealth of scholarly knowledge is of significant importance for researchers in making scientific discoveries and healthcare professionals in managing health-related matters. However, the acquisition of such information is becoming increasingly difficult due to its large volume and rapid growth. In response, the National Center for Biotechnology Information (NCBI) is continuously making changes to its PubMed Web service for improvement. Meanwhile, different entities have devoted themselves to developing Web tools for helping users quickly and efficiently search and retrieve relevant publications. These practices, together with maturity in the field of text mining, have led to an increase in the number and quality of various Web tools that provide comparable literature search service to PubMed. In this study, we review 28 such tools, highlight their respective innovations, compare them to the PubMed system and one another, and discuss directions for future development. Furthermore, we have built a website dedicated to tracking existing systems and future advances in the field of biomedical literature search. Taken together, our work serves information seekers in choosing tools for their needs and service providers and developers in keeping current in the field. Database URL: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/search.
PubMed及其他：搜索生物医学文献的网络工具的一个调查
过去十年里见证了高通量技术的现代进展，及产生大规模生物学数据的研究能力的快速增长，它们都伴随着生物医学文献的指数型增长。这些大量的学术知识对于研究者进行科学发现和医疗保健专家管理健康相关的问题是非常重要的。但是，由于这些信息的大容量及快速增长，它们的获取正变得越来越困难。作为回应，美国生物技术信息中心(National Center for Biotechnology Information，NCBI)在不断地对它的PubMed网络服务做改变以改进。同时，不同的实体致力于开发网络工具以帮助用户快速且高效地搜索和检索相关出版物。这些实践，连同文本挖掘领域中的成熟，已经导致提供与PubMed可比的文献搜索服务的各种网络工具在数目和质量上的增加。本研究中，我们回顾了28个这种工具，强调了它们各自的创新，比较了它们与PubMed系统及彼此，并讨论了未来发展的方向。此外，我们构建了一个网站来追踪生物医学文献搜索领域中的现有系统和未来进展。总之，我们的工作为信息搜寻者在选择他们需要的工具，及服务提供者和开发者在该领域跟上潮流服务。数据库地址：http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/search。zhiyong.lu@nih.gov。
10.1093/database/baq036
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3025693/pdf/baq036.pdf
http://dm.postech.ac.kr/refmed/
http://ipubmed.ics.uci.edu
http://misearch.ncibi.org
MedlineRanker
http://cbdm.mdc-berlin.de/tools/medlineranker/
http://mscanner.stanford.edu/
Anne O'Tate
http://128.248.65.185/cgi-bin/arrowsmith_uic/AnneOTate.cgi
Medline.Cognition
http://www.ebi.ac.uk/Rebholz-srv/MedEvi/
http://www.ebi.ac.uk/Rebholz-srv/ebimed
http://textlens.hgc.jp/McSyBi/
http://pubmedhh.nlm.nih.gov/nlmd/pico/piconew.php
http://etest.vbi.vt.edu/etblast3/
http://www.hubmed.org
http://babelmesh.nlm.nih.gov
http://www-tsujii.is.s.u-tokyo.ac.jp/medie/
CiteXplore
http://www.ebi.ac.uk/citexplore
http://www.twease.org/medline/app
http://pubnet.gersteinlab.org
http://www.gopubmed.org
askMEDLINE
http://askmedline.nlm.nih.gov/ask/ask.php
https://pmi.nlm.nih.gov/slim
ClusterMed
/clustermed
http://www.ogic.ca/projects/xplormed
PubCrawler
http://pubcrawler.gen.tcd.ie/
http://http//www.medpilot.de
http://ligercat.ubio.org
http://www.cismef.org
Semantic MEDLINE
http://skr3.nlm.nih.gov/SemMedDemo/
http://martini.embl.de/martini/index.jsp
http://caipirini.org/index.jsp
1, Biomedical language processing: what's beyond PubMed []2, Database resources of the National Center for Biotechnology Information []3, Understanding PubMed user search behavior through log analysis []4, Finding query suggestions for PubMed []5, Literature mining for the biologist: from information retrieval to biological discovery []6, Biomedical text mining and its applications []7, Getting started in text mining: part two []8, Text-mining approaches in molecular biology and biomedicine []9, Linking genes to literature: text mining, information extraction, and retrieval applications for biology []10, Getting started in text mining []11, Text mining []12, Categorization of services for seeking information in biomedical literature: a typology for improvement of practice []13, Evaluation of Query Expansion Using MeSH in PubMed []14, BioText Search Engine: beyond abstract search []15, Yale Image Finder (YIF): a new search engine for retrieving biomedical images []16, Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS []17, Optimizing search engines using clickthrough data [10..775067]18, Introduction to special issue on learning to rank for information retrieval [10.-009-9120-1]19, Quertle []20, MedlineRanker: flexible ranking of biomedical literature []21, MiSearch adaptive pubMed search tool []22, The use of implicit evidence for relevance feedback in web retrieval [/en-us/um/people/ryenw/papers/WhiteECIR2002.pdf]23, Hakia []24, SemanticMedline []25, MScanner: a classifier for retrieving Medline citations []26, eTBLAST: a web server to identify expert reviewers, appropriate journals and similar publications []27, PubMed related articles: a probabilistic topic-based model for content similarity []28, PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algorithm []29, Twease at TREC 2006: Breaking and fixing BM25 scoring with query expansion, a biologically inspired double mutant recovery experiment [30, Okapi at TREC-3 [http://www./users/robertson/papers/trec_pdfs/okapi_trec3.pdf]31, The usefulness of dynamically categorizing search results []32, Anne O'Tate: A tool to support user-driven summarization, drill-down and browsing of PubMed search results []33, Biomedical knowledge navigation by literature clustering []34, GoPubMed: exploring PubMed with the Gene Ontology []35, ClusterMed [/clustermed]36, XplorMed: a tool for exploring MEDLINE abstracts []37, MedEvi: retrieving textual evidence of relations between biomedical concepts from Medline []38, EBIMed--text crunching to gather facts for proteins from Medline []39, CiteXplore [http://www.ebi.ac.uk/citexplore/]40, An intelligent search engine and GUI-based efficient MEDLINE search tool based on deep syntactic parsing [10..1225408]41, PubNet: a flexible system for visualizing literature derived networks []42, Interactive and fuzzy search: a dynamic way to explore MEDLINE []43, Pubget []44, BabelMeSH: development of a cross-language tool for MEDLINE/PubMed []45, HubMed: a web-based biomedical literature search interface []46, askMEDLINE: a free-text, natural language query tool for MEDLINE/PubMed []47, askMEDLINE: a report on a year-long experience []48, SLIM: an alternative Web interface for MEDLINE/PubMed searches - a preliminary study []49, Utilization of the PICO framework to improve searching PubMed for clinical questions []50, PubCrawler: keeping up comfortably with PubMed and GenBank []51, What's new in the library? What's new in GenBank? let PubCrawler tell you []52, PubMed Assistant: a biologist-friendly interface for enhanced PubMed search []53, AliBaba: PubMed as a graph []54, PubMed-EX: a web browser extension to enhance PubMed search with text mining features []55, iHOP web services []56, Content-rich biological network constructed by mining PubMed abstracts []57, PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites []58, High-performance gene name normalization with GeNo []59, Author Name Disambiguation in MEDLINE []60, PubFinder: a tool for improving retrieval rate of relevant PubMed abstracts []61, Relemed: sentence-level search engine with relevance score for the MEDLINE database of biomedical articles []62, MedMiner: an Internet text-mining tool for biomedical information, with application to gene expression profiling []63, Knowledge discovery and system biology in molecular medicine: an application on neurodegenerative diseases []64, Topical clustering of biomedical abstracts by self-organizing maps [http://biocomp.o2i.it/bioCOMP/contFiles/pdf/BGRS04_FattoreM_ArrigoP_submitted.pdf]65, Probabilistic self-organizing maps for qualitative data []66, Towards automatic recognition of scientifically rigorous clinical research evidence []67, For I dipped into the future []68, Overview of the protein-protein interaction annotation extraction task of BioCreative II []69, Overview of BioCreative II gene normalization []70, Semi-automatic semantic annotation of PubMed queries: A study on quality, efficiency, satisfaction []
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pubmed中查文献全文收录期刊信息的简洁方法
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pubmed检索到文章，有的并未给出全文下载链接，此时我们就有必要了解该文章是收录于哪个期刊，以及这个期刊的出版商等信息。由此我们可以了解该文章被收录于哪个期刊，这个期刊又收录于哪个综合数据库当中。经过摸索，最近又发现一种更好的便捷操作查找文献收录期刊详情的办法。例如，要了解 http://www.ncbi.nlm.nih.gov/pubmed/8815566# 这个文章被收录于哪个期刊，及期刊的具体信息，可按下图所示操作： 从中我们可以知道该文章就是收录于 Thromb Haemost 这个期刊。要了解该期刊的详情，只需在期刊名字 Thromb Haemost 上双击，在弹出的菜单中点击 NLM Catalog 这个选项即可。点击后，会看到如下期刊详情信息： 图中，我用红色短线标出的内容是重要的内容，这里就告诉我们该期刊是被收录于什么地方了。
例子演示:Trial with bacillus Calmette-Guérin and epirubicin combination in the prophylaxis of superficial bladder cancer.http://www.ncbi.nlm.nih.gov/pubmed/8178379打开该文献在 pubmed 中的链接，发现这篇文献确实有些特殊，pubmed收录的关于该文献的信息中竟然没有该文献的doi 编号，也没有显示该文献被收录于什么数据库。我从谷歌学术中搜索该文献，企图找到该文献被收录于哪个数据库的信息，但是谷歌学术中却检索不到该文献。然后，我又从 scirus 学术搜索引擎中检索该文章，发现scirus 说该文献被收录于 pubmed, 结果一切又回到问题的原点。 那么怎么办呢？还好，虽然pubmed 上没有提供该文献被收录于哪个数据库的信息，但是还是告诉了我们该文献被收录于哪个期刊杂志。如下图所示，鼠标移动到红色圈起来的链接 uiol lnt 上后，网站显示出该文献收录于期刊 Urologia Internationalis 知道了该文献收录于此期刊后，我们下一步要做的事情就是通过该期刊的名字，查到该期刊被收录于什么数据库。通过使用百度搜索引擎，我查询到该期刊的一些信息如下图，图中显示该期刊的出版商中是 karger 至此，我们终于发现了客户要下的文献是被收录于 karger 数据库中的。有了这一讯息后，底下就好办多了，就是在英文数据库中找到 karger 数据库，进入其中下载该篇文献即可。更多精彩内容，关注生物学霸：
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