什么是 EHEC，HUS？

EHEC 本质上还是一种微生物学鉴定特征为：Shigatoxin 1毒素阴性，Shigatoxin 2阳性，Intimin 因子阴性的目前编号为 EHEC O104:H4   的大肠杆菌 (via)。

注意，不是一些媒体中（包括某门户网站）不负责任报导的尼玛病毒。。。

偶们每天饮用水里会吃到微量大肠杆菌，人类肠道及温血性动物肠道里都会含有很多数量的大肠杆菌。。。当然，这种关系是共生的，在体内一些大肠杆菌变异或病变大肠杆菌传播导致疾病，就可以认为是寄生，甚至侵染，致命了。

HUS (haemolytic uraemic syndrome) 溶血性尿毒症是由 EHEC 导致的肾衰竭致命病症。

既然大肠杆菌这么普遍，那还怕啥？

上面也提到了，大肠杆菌是普遍存在的。但是本次的稀有 O104:H4  EHEC 很严重。截至目前（2011.06.02），德国已有 520 例HUS报道，1213 例 EHEC  报道（via），目前 WHO 也收到了来自 12 个国家（Germany, Austria, the Czech Republic, Denmark, France, the Netherlands, Norway, Spain, Sweden, Switzerland, the United Kingdom and the United States of America）的病例报告 (via)。并且一个不常见的现象是本次 EHEC 爆发，成年女性最易受到攻击。但不管怎么说，本次 HUS 的大规模爆发很严重。

历史上有过 EHEC 爆发吗？

每年世界上都有病例不多的 HUS 及死亡报告, 但远够不上一定规模的爆发。1996 年，日本爆发过最大的一次 EHEC，有超过 1 万的病例报告。

整理: DreamFreeBlog   主要参考：1, 2     其它个人博客科普:  iFrei.cn

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其实我们也都知道现在的论文出版物中 first author 与 corresponding author：first author (第一作者) 是论文主要完成者，参与论文实验构思，设计，实验，总结，论文撰写；corresponding author（通讯作者）现在也一般是一作导师，但有时还是会出现 senior author，senior author是一作还是通讯作者呢？

查阅了下一些杂志的 guideline，弄明白了是怎么回事。senior author 一般是实验室的负责人，国外叫 PI，我们叫老板。该论文主要工作在该实验室内完成，senior author 整体负责协调了整个实验项目的开展，当然，如果该论文由多个实验室合作完成，可能也会有多个 senior author 。但不管怎样，senior author 对整个论文质量负责。

senior author 与 corresponding author 的关系？其实，在过去，可能是有 senior author 与 corresponding author 之分的，但 senior author 仍是对整个论文质量负责，corresponding author 未必，只是负责一些日常的实验方法，材料，论文抽印本（reprint）咨询联系索取等，所以我们现在有时也可以看到第一作者也可以是 corresponding author。

现在，senior author 和 corresponding author 差不多是一个概念，并且，senior author 都说成 corresponding author。但是，如果要看哪个是 senior author，往往排在最后一个，所以，由于“某种原因”，如果你想使自己的作者署名顺序提前，你可以是 corresponding author，但你不会成为 senior author，哈哈！

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大家看看便是，了解下我目前的研究内容。也算弥补下平时很少在博客上写这些东西。同时贴出来看看潜水读者中有没有同行，为了SEO需要，我在文末也贴一些关键词元素，希望将来能有一些同行访问。嘿嘿。

正文部分，不想被搜索引擎索引，截屏为图片了。

PS: 在那篇文章写作中，偶尝试使用笔者自称，感觉蛮好玩的，搞的自己像一个老学究，哈哈哈哈。

正文：

结束

/**SEO***关键词：模式生物果蝇生殖干细胞维持与更新的生物学调控，下面就该研究领域的前沿进展作一概述….果蝇（Drosophila melanogaster）和小鼠、线虫、斑马鱼等一样，是生物学研究中重要的模式生物…生殖干细胞（stem cells）…理解果蝇生殖干细胞的调控机制对于我们理解干细胞功能和行为，最终对于人类不育不孕等生殖缺陷的基因治疗及再生生物学的发展有积极的借鉴作用…干细胞所处的体细胞构成的微环境对于干细胞的维持和更新的调控作用，也就是说，干细胞所处的微环境是怎样和干细胞直接发生相互作用的，有哪些信号通路参与，细胞外基质的作用如何，干细胞内部的遗传调控如何协调…DPP 信号外，Notch 信号、Jak-Stak 信号及EGFR等信号对于干细胞的调控也起到重要作用…细胞外基质（extracellular matrixc, ECM）…E-钙粘蛋白、integrin 分子…表观遗传学（epigenetic）调控，主要包括 DNA 甲基化，组蛋白甲基化/乙酰化修饰，染色质重塑（chromosomo remodeling）及 miRNA 调控…piwi-RNA…pi-RNA…Carnegie Institution 的 Allan Spradling…生殖干细胞与微环境的互相作用，鉴定新的干细胞种类，研究与开发复杂组织发育过程研究中GFP相关工具…New York University 的Ruth Lehmann…诺贝尔奖生理学或医学奖获得者Nüsslein-Volhard…生殖原细胞（primordial germ cell）…Stowers Institute 的Ting Xie..An epithelial niche in the Drosophila ovary undergoes long range stem cell replacement. Cell Stem Cell…Drosophila stem cells share a common requirement for the H2B ubiquitin protease Scrawney. Science…Drosophila germ-line modulation of insulin signaling and lifespan PNAS…Temporal and spatial control of germ-plasm RNAs Current Biology…Differentiation-Defective Stem Cells Outcompete Normal Stem Cells for Niche Occupancy in the Drosophila Ovary. Cell Stem Cell.eIF4A controls germline stem cell self-renewal by directly inhibiting BAM function in the Drosophila ovary. Proc Natl Acad Sci U S A. 2009..**SEO**/
Tags: Carnegie Institution Allan Spradling, DROSOPHILA, epigenetics, extracellular matrixc ECM, New York University Ruth Lehmann, Stowers Institute Ting Xie, 表观遗传学,DROSOPHILA Germline Stem Cell,

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关于 PLoS 系列期刊, Open Access 及影响因子

PLoS 系列期刊作为 OA (Open Access) 新型期刊的典范, 早已不 care 所谓的影响因子了, 在这个 web 2.0 的时代, PLoS 系列期刊也开始将传统意义上的论文之间的 citation 概念扩展了, 感兴趣的可以具体参考我以前写的另外一篇英文文章, 对此进行过详细介绍.

一些在国内本土创办的国际性学术期刊, 最起码, Open Access 的理念值得学习, 就像软件的 Open Source 概念与精神.

另附:

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Cell Research编辑李ds同学要笑了

笑的睡不着觉

以 review 拉动影响因子的策略还是很正确滴，李同学聪明人啊. 这不，还创建了第二本国际学术期刊 Journal of Molecular Cell Biology (JMCB), 具体可以看我以前写的一篇英文文章.

关于 JMCB, 我师兄说, 既然Cell Research 影响因子这么高了,还折腾啥, 这就是李童鞋的高明之处啦,哈哈哈. 成功是可以快速克隆滴, 我在那篇文章里也提到了, JMCB 的第一篇文章就是 reviw,哈哈… 相信被ISI收录后, JMCB影响因子也会很快有.

在一次会议里, 李童鞋说, 在中国本土成功创办一本学术期刊是他的梦想. 正如我的主页的域名, 每个人都应该怀揣梦想.

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ISI Web of Knowledge 的 JCR 在今天更新公布了2009年最新SCI影响因子。 一种期刊的影响因子，指的是该刊前二年发表的文献在当前年的平均被引用次数。一种刊物的影响因子越高，即其刊载的文献被引用率越高，一方面说明这些文献报道的研究成果影响力大，另一方面也反映该刊物的学术水平高。因此，JCR以其大量的期刊统计数据及计算的影响因子等指数，而成为一种期刊评价工具。

Excel格式SCI影响因子2010下载（耐心等待片刻，即可下载）:备用网盘下载地址:
http://shareflare.net/download/93593.9377aff7199719b19ac0b037d1337a934/2010_2009_impact_factor_IF.xls.html
选择 Free 下载方式，填写验证码即可。

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如果有生物专业的网友，可以让我添加你想阅读期刊的 RSS 哦。

http://pub.genedog.org/

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“当你去公园散步，每个血统的狗的样子看起来是那么的不一样，但是从分子生物学的层面，我们却只发现三种不同基因的组合，造就了这么千变万化的狗的毛发特征！”，Ostrander 博士介绍道。

因此，三种基因控制狗的毛发也许能提示我们 “一些基因” 是怎样导致人类中这么多变的癌症等复杂疾病的。

# dreamfree 语：生命中类似的 “排列组合” 现象确实很神奇，这种简单几种元素的排列组合有时总是那么有效而令人叹为观止。我此时脑海中也想到了两种景象：一是病毒，比如我们生活中熟知的各种流感，之所以流感很难有特效药，因为流感病毒变异太快了，流感病毒分型很多，流感病毒的变异是否也 “借鉴”。了类似的原理呢？ 二是烹饪，我就不多说了，哈。不过如果有人笑话你不会做饭，你可以说，烹饪嘛，不就那几种玩意儿嘛！

( 消息来源：NPR News；论文出处：Science DOI: 10.1126/science.1177808 ；编译：DFB)

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美国马里兰 J Craig Venter 研究所 Craig Venter 博士

该世界上第一列人造生命体将以合成细菌的形式首次展示合成生命技术的可行性。研究的大致思路是通过 DNA 转移技术将细菌的基因组移植到与之在进化树上关系很远的酵母体内，经过遗传改造后再将改造基因组转移到另一种细菌体内，这种新型细菌的生长存活正常。

遗传改造的基因组从一细菌转移至另一细菌 （J. Craig Venter 研究所）

dreamfree 语，这也就暗示了未来可以将遗传改造基因或基因组转移到细胞体内，重构新的生命体形式。但是这种完全“人工制造”的基因组在细胞体内究竟会不会按照预想产生最终的器官或生命体甚至更高级的多细胞生物体还有待商榷。 (消息来源: Mail Online, 论文出处: Science DOI: 10.1126/science.1173759)

PS:  这是一篇尝试性日志，打开博客首页，看浏览器标题栏博客名称已经稍作改变，嘿嘿。博客定位：睡到自然醒blog – 生物科普医药健康个人网站。以后不会写不痛不痒的所谓技术性文章，因为我的专业是生物，因为偶不是技术男，哈~ 这也是上次博客满 500 篇日志的一些思考， 其实这个博客初衷就是博客描述所示 — “生物| 生命科学| 医药健康| 科普| 分享| 学习| 交流| 博客|个人网站|”，可一直没碰那方面的话题，或者可能只集中在后者 — “| 博客|个人网站|”，现在考虑话题前倾。也算是这次博客搬家的转折吧，如果大家觉得不合适，也会考虑在换一个域名重新起家，可不大想，那样重新来感觉比较痛苦。欢迎写下你的想法和意见！

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更新：2010年最新SCI影响因子下载 （耐心等待片刻，即可下载）:

至于SCI影响因子，我们只要把它作为一个参考即可，并不是科研追求的全部和风向标。有意思的是，今年的SCI影响因子增加了 特征因子(Eigenfactor Score) 和 论文影响分值 (Article Influence)两个指标。其中的论文影响分值使我想到了 Google PR，主页 PR 由各个内页 PR、流量等各个因素权衡加权，呵呵，很有意思。

每年的年度 SCI 期刊的最新影响因子会在下一年度6月中旬左右出来。因此，2009年的 SCI 影响因子，实际应该在2010年才会出来。今天出来的影响因子则是统计的 2008 年度的 SCI 期刊的影响因子。

ISI Web of Knowledge 的 JCR 在今天 6月20日凌晨更新公布了2008最新SCI影响因子。一种期刊的影响因子，指的是该刊前二年发表的文献在当前年的平均被引用次数。一种刊物的影响因子越高，即其刊载的文献被引用率越高，一方面说 明这些文献报道的研究成果影响力大，另一方面也反映该刊物的学术水平高。因此，JCR以其大量的期刊统计数据及计算的影响因子等指数，而成为一种期刊评价 工具。

今年SCI影响因子增加了 特征因子(Eigenfactor Score) 和 论文影响分值(Article Influence)两个指标，更全面评估期刊和论文的水平。

2008/2009最新SCI期刊影响因子 SCI Impact Factor 2008

SCI影响因子算法可能和 Google PR 一样难以参透，但每年的影响因子变化规律也有总的规律可循的。

其实据我所知，SCI 影响因子概念的提出就是基于 Google PR 的一些算法统计计算的。

“The pattern of citations between scientific papers forms a network that has remarkable similarities to the network formed by the web. So why not use Google’s PageRank, the world’s most effective search algorithm to rank these papers in the same way it ranks websites? That’s exactly what a couple of US researchers have done for physics papers published by the American Physical Society since 1893 (abstract). The results make interesting reading because almost all of the top ten papers resulted in (or were linked to) Nobel Prizes for their authors. Which means that studying the up-and-coming entries on the list ought to be a good way of predicting future winners. Better get your bets in before the bookies get wind of this.”  via slashdot

上面有一句有意思的话，就是你知道论文”PR”最高的作者往往是谁吗，那些高质量的引用次数最高的论文往往是诺贝尔得主做出来的研究成果。

知道 SEO 技巧以后去当 期刊的编辑是不是一个很大胆的想法呢？说不定在不作弊的情况下(哪怕是作弊边缘)，能将期刊做到影响因子很高。

哈哈，不扯了，2009年最新SCI影响因子查询与下载，有需要的，移步到这里。（注：已经更新到了现在最新的SCI影响因子）

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晚上已经在诺贝尔奖官方网站上看到了今年诺贝尔生物学奖得主，当时看的时候网站还没上传获奖得主头像。看来诺贝尔奖的评审及公布程序真的很严格，也许这些诺贝尔生物奖获得者图像是刚刚拍摄采集的呢。

据诺贝尔奖官方网站消息，10月6日当地时间上午11时30分左右(北京时间17时30分左右)，瑞典皇家科学院诺贝尔奖委员会宣布将2008年度诺贝尔生理学或医学奖授予授予德国科学家楚尔郝森和两位法国科学家巴雷-西诺希和路克-蒙塔尼埃。德国科学家因发现人乳头淋瘤病毒引发子宫颈癌获此殊荣，两名法国科学家因发现人类免疫缺陷病毒(HIV)获此殊荣。

楚尔郝森1936年出生于德国，他现在是德国海德堡癌症研究中心的研究人员。雷-西诺希和路克-蒙塔尼埃分别出生于1947年和1932年。楚尔郝森将获得一半的奖金，巴雷-西诺希和路克-蒙塔尼埃将共享另一半奖金。 (中国网)

http://www.dreamfreeblog.com/2008-nobel-prize-physiology-medicine-biology-323.html

The Nobel Prize in Physiology or Medicine 2008

Photo: Magunia/SCANPIX	Photo: L. Dolega/SCANPIX	Photo: DKFZ/SCANPIX
Harald zur Hausen	Françoise Barré-Sinoussi	Luc Montagnier
1/2 of the prize	1/4 of the prize	1/4 of the prize
Germany	France	France
German Cancer Research Centre Heidelberg, Germany	Regulation of Retroviral Infections Unit, Virology Department, Institut Pasteur Paris, France	World Foundation for AIDS Research and Prevention Paris, France
b. 1936	b. 1947	b. 1932

Titles, data and places given above refer to the time of the award.
Photos: Copyright © The Nobel Foundation

http://nobelprize.org/nobel_prizes/medicine/laureates/2008/

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Hedgehog (Hh)蛋白家族调控细胞生长，细胞存活，细胞命运决定等脊椎动物几乎所有模式形成过程的各个方面。单独的一种形态发生子(morphogen)能产生这么广泛的影响是可能的，因为细胞对Hedgehog信号通路的响应依赖于不同细胞种类、接收到的Hedgehog信号剂量强度、以及相应Hedgehog信号的具体时间。

并且Hedgehog的信号梯度由加工、分泌、运输Hedgehog信号所需蛋白特化。细胞响应机制又协同负反馈循环进一步微调Hedgehog信号。影响到Hedgehog信号转导途径的生殖细胞突变体往往伴随发育过程紊乱，同时，激活Hedgehog信号转导通路的体细胞突变往往伴随多种人类癌症的发生。

这篇综述详细介绍了最新Hedgehog信号转导途径研究进展，阐述了Hedgehog信号转导通路的发生机制及发育生物学功能。另外，本综述也讨论了人类疾病发生的病理生物学过程，以探寻人类疾病的潜在治疗方法。

http://www.dreamfreeblog.com/hedgehog-functions-and-mechanisms-316.html

GENES & DEVELOPMENT 22:2454-2472, 2008
©2008 by Cold Spring Harbor Laboratory Press; ISSN 0890-9369/ $5.00
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REVIEW

Hedgehog: functions and mechanisms
Markku Varjosalo and Jussi Taipale1

Department of Molecular Medicine, National Public Health Institute (KTL), and Genome-Scale Biology Program, Biomedicum Helsinki, Institute of Biomedicine and High Throughput Center, Faculty of Medicine, University of Helsinki, Helsinki FI-00014, Finland

The Hedgehog (Hh) family of proteins control cell growth, survival, and fate, and pattern almost every aspect of the vertebrate body plan. The use of a single morphogen for such a wide variety of functions is possible because cellular responses to Hh depend on the type of responding cell, the dose of Hh received, and the time cells are exposed to Hh. The Hh gradient is shaped by several proteins that are specifically required for Hh processing, secretion, and transport through tissues. The mechanism of cellular response, in turn, incorporates multiple feedback loops that fine-tune the level of signal sensed by the responding cells. Germline mutations that subtly affect Hh pathway activity are associated with developmental disorders, whereas somatic mutations activating the pathway have been linked to multiple forms of human cancer. This review focuses broadly on our current understanding of Hh signaling, from mechanisms of action to cellular and developmental functions. In addition, we review the role of Hh in the pathogenesis of human disease and the possibilities for therapeutic intervention.

[Keywords: hedgehog; signal transduction; cancer; development; transcription]

1 Corresponding author.

http://genesdev.cshlp.org/cgi/content/abstract/22/18/2454

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世界大学科研论文质量评比:2008世界科研论文排名
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有些读者发信询问是否有英文原文或者什么PDF格式下载，看来大家对这个排名还是很感兴趣的。很简单，今天到「世界大学科研论文质量评比」系统官方网站HEEACT ranking进行查询。

ranking review in english

2008 Performance Ranking of Scientific Papers for World Universities 

Methodology

This project employs bibliometric methods to analyze and rank the scientific
papers performances of the top 500 universities in the world. The selection of
the 500 universities for inclusion in this project is primarily based on
information obtained from the Essential Science Indicators (ESI). Of the more
than 3,000 research institutions listed in ESI, this project selects the top 700
institutions sorted by the numbers of published journal articles. Exclusion of
non-university institutions from the primary list and the comparison to the
lists of universities included in the other ranking programs resulted in the 700
universities in this project. Data used to assess the performances of the
universities is drawn from ISI’s ESI, Web of Science (WOS), which includes SCI
and SSCI, and Journal Citation Reports (JCR).

The concept of authority control is employed to retrieve data indexed under
different forms of a university’s name in those resources – i.e., the official
name, the abbreviated and other possible forms of the names. This project also
considers the mergers and splitting of universities (or different campuses in a
university system) and includes publications by a university’s affiliated
institutions such as research centers and university hospitals. This effort
ensures the accuracy of each university’s number of published journal articles
and the subsequent statistics of their citations.
 
Indicators
The 2008 performance measures are composed of eight indicators. One indicator
used in the 2007 ranking (“number of subject fields where the university shows
excellence”) has been removed and the weightings of the 2008 indicators have
been adjusted accordingly. The indicators together represent three different
criteria of scientific papers performance: research productivity, research
impact, and research excellence. Table 1 lists the indicators and shows their
respective weightings for the indicators.
 
Table 1: The Criteria, Indicators, and Their Respective Weightings Used for the
Overall Performance Based Ranking
      Criteria2008 Overall Performance IndicatorsWeighting
      Research productivityNumber of articles of the last 11 years
      (1997-2007)1020
      Number of articles of the current year (2007)10
      Research impactNumber of citations of the last 11 years (1997-2007)1030
      Number of citations of the last 2 years (2006-2007)10
      Average number of citations of the last 11 years (1997-2007)10
      Research excellenceH-index of the last 2 years (2006-2007)2050
      Number of Highly Cited Papers (1997-2007)15
      Number of articles of the current year in high-impact journals (2007)15

 
Research Productivity:
 
The number of articles published in peer-reviewed academic journals is an
appropriate indicator of the productivity of a research institution. To fairly
represent a university’s on-going and current research productivity, this
project employs two indicators: the number of articles in the last eleven years
(1997-2007), and the number of articles in the current year (2007).

“Number of articles in the last 11 years” draws data from ESI, which include
1997-2007 statistics of articles published in journals indexed by SCI and SSCI.
“Number of articles in the current year” relies on the 2007 data obtained from
SCI and SSCI, which were searched between Jan 19 and Jan 31, 2008.
 
Research Impact:
 
The number of citations on a particular academic article within a specific time
frame is a commonly accepted indicator for that article’s impact. This project
considers both the long-term and short-term impacts of a particular research and
seeks to provide a fair representation of a university’s research impact
regardless of its size and faculty number.  Thus, this project measures research
impact by: the number of citations in the last eleven years, the number of
citations in the last two years, and the average number of citations in the last
eleven years.

“Number of citations in the last 11 years” draws 1997-2007 citation statistics
from ESI. “Number of citations in the last 2 years” draws 2006-2007 citation
statistics from SCI and SSCI at WOS, which include citation statistics updated
to the dates of retrieval. “Average number of citations in the last 11 years” is
the number of articles in the last eleven years divided by the number of
citations in the last eleven years.
 
Research Excellence:
 
 This project assesses each university’s research excellence by the following
indicators: the h-index of the last two years, the number of Highly Cited Papers
from ESI, and the number of articles in high-impact journals in the current year
(Hi-Impact journal articles). “H-index of the last 2 years” measures both the
quantity and quality of a university’s research via the use of the 2006-2007
data from SCI and SSCI. It is defined as “a university has index h if h of its
Np papers in the last two years have at least h citations each and the other (Np
– h) papers have ≦h citations each”.

“Number of Highly Cited Papers” utilizes data from ESI, which include statistics
of “Highly Cited Papers” from 1997 to 2007. ESI defines Highly Cited Papers as
SCI /SSCI-indexed papers that are cited most (in the top 1% of the total papers
indexed in the same year) within the last 11 years.

“Number of articles of the current years in high-impact journals” employs data
from JCR, which supplied the impact factor of each journal in its subject field.
The impact factor of a journal is the number of citations to the papers
published in that particular journal within the previous two years divided by
the number of that journal’s papers within the previous two years. A journal
with a higher impact factor means its articles are more frequently cited by
other journals, thus suggesting its higher scholarly value. This project defines
high-impact journals as journals whose impact factors are ranked as the top 5%
of the total journals within a specific subject category. With high-impact
journals lists derived from JCR, this project is able to count the numbers of
each university’s articles published in high-impact journals by subject.
 
Data Processing
 The procedures for data processing are as follow. First, the project staff
conducts authority control on the various forms of a university name and
analyzes all the SCI/SSCI bibliographic records in which the address field
contained one of the forms of the university name. An accurate number of the
total articles from a university are obtained after removing duplicate records
containing different forms of that university’s name. Second, using SCI/SSCI,
this project obtains the total number of citations by adding the number of
citations on each of the articles from that university from its inclusion in
SCI/SSCI to the date of retrieval for this research.

 Some university systems have several campuses. A few campuses within a
particular university system may have been commonly perceived as individual
institutions. However, they are indexed in ESI only by the university system
name. For example, University of Wisconsin-Madison and University of
Wisconsin-Milwaukee are not differentiated in ESI (they are both indexed under
“Univ Wisconsin”) though they are often perceived as two individual
universities. This project corrects the flaw by manually searching SCI/SSCI in
order to identify the actual number of articles and citations of these articles
produced by each individual campus. Likewise, this project employs the same
manual searching procedures to ensure the measurement of each university’s
Highly Cited Papers have fairly represented the research performance of each
individual university campus.
 
Score Calculation and Sorting
 Based on the measurement procedures, this project calculates a university’s
score for each of the eight indicators. For each indicator, the university with
the highest number receives the maximum points (100); the other universities’
numbers are subdivided by the highest number and are converted decimally into
their respective scores. For example, if University A has the highest number M
for Indicator X, it receives 100 for that indicator, while University B with a
number of N receives (N/M×100) for that particular indicator. Finally, the
project calculates the final score of each university by the indicator
weightings presented in Table 1 and sorts the universities by their final
scores. Universities with the same scores are sorted alphabetically. It should
be noted that many universities obtain similar scores, and the slight
differences of the final scores must be interpreted carefully. A university’s
slightly higher score than another university’s may not necessarily suggest its
superiority in scientific research because the two universities might be in very
close proximity in the ranking.
 
Copyright © 2007 Higher Education Evaluation and Accreditation Council of Taiwan 

延伸阅读:

• 世界大学科研论文质量评比:2008世界科研论文排名 (2)
• HEEACT Ranking补充:2008世界科研论文排名-台湾地区/大陆地区/香港地区高校 (2)
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这项评比推出后深受国际重视，将HEEACT Ranking与上海交大、英国时报高等教育增刊、西班牙世界大学网路排名的三大全球大学排名系统并列讨论，澳洲国家教育部更公开参考采用。

2008年世界大学科研论文不分领域的前五百大排名，美国就占一百六十三校，并包办前十一名，依序为哈佛大学、约翰霍普金斯大学、史丹福大学、华盛顿大学西雅图分校、加州大学洛杉矶分校、加州大学柏克莱分校、密西根大学安娜堡分校、麻省理工学院、加州大学旧金山分校、加州大学圣地牙哥分校、宾州大学。

前五百大的不分领域排名中，亚洲地区由日本三十五校居冠，日本东京大学排名第十二；其次为中国大陆十三校，再来为香港与台湾各五校。

分领域排名方面。台湾共有台大、成功、清华、交通、中央大学、中山大学、台湾科大、中兴大学等八所大学在工科领域 。台大、清华、成功、交通四校在理科领域 。台大、中兴两校在农学领域 。台大、阳明两校在临床医学领域 。台大一校在生命科学领域分别进入世界前三百强。而社会科学领域则没有学校进榜。

分析华人地区大学表现，绝大多数排名进步，其中新加坡国立大学 (86名，去年96名)进入世界百大，台湾大学则超越香港大学，跃升为两岸三地第一 (141名，去年185名)，其次为北京清华大学 (152名，去年250名)、北京大学 (164名，去年241名)及香港大学 (173名，去年182名)。 via

相关阅读：Cell-Science in China: 30 Years On,细胞杂志撰文:中国科学三十年

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