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counter的相关文献在1986年到2020年内共计63篇,主要集中在信息与知识传播、肿瘤学、常用外国语
等领域,其中期刊论文61篇、会议论文1篇、专利文献1篇;相关期刊45种,包括绍兴文理学院学报、产权导刊、大学图书馆学报等;
相关会议1种,包括第五届中国管理学年会(MAM2010)等;counter的相关文献由144位作者贡献,包括Ahmad Mirabadi、Ali Zamani、Alina Cernasev等。
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-研究学者
- Ahmad Mirabadi
- Ali Zamani
- Alina Cernasev
- CHEN Ran1
- Catherine D. Santanello
- DENG Tianlong
- David A. Taylor
- E. B. YEAGER
- Eiichi Sato
- Franco Belosi
- Franco Prodi
- GAO Daolin
- GUO Yafei
- Gianni Santachiara
- Hatsari Mitsudharmadi
- Hiroshi Matsukiyo
- Hong GAO(H.KAO)Department of ChemistryNanjing UniversityNanjing210008 Department of ChemistryXian Yang Normai College.
- Jian Bin ZHENG
- LI Chuanlong1
- LIU Mingming
- LIU Yang1
- LUO Zhiping1
- M. L. DAROUX
- M. LITT
- Manabu Watanabe
- Maria Cordina
- Nichloas
- Osahiko Hagiwara
- Rhea
- Ronald Hadsall
- Satoshi Yamaguchi
- Seyed Mohammad Hasheminejad
- Shinya Kusachi
- Shu Ping BI
- Sonny Handojo Winoto
- Tao Wang
- Toshiyuki Enomoto
- W. M. Abdellah
- WANG Shiqiang
- Weihong Yang
- YU Xiaoping
- Yasuyuki Oda
- Yongguang Chen
- Yuichi Sato
- nagebirdren
- 丁培
- 严霞
- 于平苹
- 于琦
- 何丙南
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田玥;
贺培凤;
邰杨芳;
吴胜男;
张昆;
于琦
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摘要:
运用Altmetrics数据分析生物医学论文在网络中的关注度,探索影响论文网络关注度的因素.以8322篇论文连续200天的PLOS ALMs数据和其题录信息为数据,运用Python自编程序从论文关注过程和关注度差异两个维度进行分析.关注过程主要从论文在不同媒介上的扩散趋势、覆盖率变化趋势和单日访问量进行分析.关注度差异主要是运用特征分数和尺度、词频-逆文档频率方法对关注度差异背后的原因进行探索.从关注过程来看,生物医学论文在不同媒介上的扩散趋势和覆盖率增长趋势各有不同.论文发表后3天是关注的巅峰期,发表后7天内是关注的黄金期.从关注度差异来看,生物医学论文的研究主题、国家/地区、来源期刊均会影响论文在网络中的关注度.研究主题与人类健康迫切相关的论文得到较高的网络关注度,如传染性病毒.与美国、英国相比,我国的论文获得网络关注度较低.论文所在期刊的影响因子越高,论文越有可能获得较高的网络关注度.论文作者的影响力对论文在网络中的关注度不会产生影响.本研究为科研学者展示了生物医学论文在社交网络中的关注过程并分析影响关注度的可能因素,期望能为科研学者的研究成果更快速地扩散和传播提供依据和参考.
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W. M. Abdellah
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摘要:
The present work examines the validity of using barium as a carrier for radium-226 determination and optimizes the amount added during the radiochemical separation from rock samples. The activity concentration of Ra-226 is determined in rock samples by liquid scintillation spectrometer via its short-lived daughters after the radiochemical separation. The activity of Ra-226 was calculated based on the counts measured in a window set for Po-214 peak. The activity measured by Liquid Scintillation Counter, LSC using Pulse Shape Analysis, PSA. Ba-133 was used for chemical yield. The applied method was tested using a Certified Reference Material, CRM ore number-Dl-1a which shows a good agreement with the certified values. The applied method for measuring Ra-226 has been adapted to be used in rocks such as monazite. The average activity for Ra-226 in rock samples collected from the commercial grade Egyptian monazite was 13.85 ± 2.05 Bq/g with a detection limit 9.58 mBq/g. The optimum conditions have been established during the present work such as precision, cost and time preparation which makes the method useful for radio chemists and the decision makers.
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陈大庆;
叶兰;
丁培
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摘要:
电子资源使用统计收割标准SUSHI是一个为自动收割COUNTER格式的使用数据而制订的数据采集与传递的标准协议,于2007年成为NISO标准.目前,图书馆和数据库商对如何使用SUSHI仍比较迷茫,并不清楚各自需要做哪些准备工作以实现利用SUSHI自动收割使用数据.2014年2月,中国高校图书馆数字资源采购联盟倡议实现组团数据库使用数据按月自动化收割与规范化管理,重新引发国内图书馆及数据库商对SUSHI的关注.为加深国内图书馆及数据库商对SUSHI的理解与认知,并推进SUSHI的应用,本文梳理国内外SUSHI的实施与应用现状,从SUSHI客户端和服务器端两个层面解析SUSHI实施与应用的具体流程与步骤,并通过剖析英国JUSP和中国DRAA电子资源使用统计模块两个联盟的应用案例,呈现SUSHI应用的具体操作细节,揭开SUSHI实施与应用的神秘面纱.意识层面、技术层面和标准层面的因素推动或阻碍了SUSHI的实施与应用,建议要基于利益相关者来推动SUSHI的实施与应用.
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温暖
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摘要:
利用数据库提供的COUNTER报告,以东北大学图书馆Elsevier Science Direct数据库为例,对外文电子期刊全文库的使用情况进行统计分析,针对基于用户检索利用行为的学科文献资源保障情况进行研究,为图书馆读者服务和资源建设工作优化提出有针对性的对策和建议.
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李峰;
胡蓝
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摘要:
如何高效使用大数据平台,一直以来是技术关键.基于大数据平台的可视化建模工具Visual Modeler,是为了降低大数据平台中业务的开发门槛而产生的.该工具通过可视化的界面,将以前需要写SQL或其它脚本语言才能完成的统计和计算任务,以配置Counter和KPI的方式来完成,这使得几乎没有任何开发基础的业务人员也能快速的定制出统计和计算任务,大大的提高了业务实现的效率.
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Osahiko Hagiwara;
Eiichi Sato;
Yasuyuki Oda;
Satoshi Yamaguchi;
Yuichi Sato;
Hiroshi Matsukiyo;
Toshiyuki Enomoto;
Manabu Watanabe;
Shinya Kusachi
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摘要:
To obtain two kinds of tomograms at two different X-ray energy ranges simultaneously, we have constructed a dual-energy X-ray photon counter with a lutetium-oxyorthosilicate photomultiplier detector system, three comparators, two microcomputers, and two frequency-voltage converters. X-ray photons are detected using the detector system, and the event pulses are input to three comparators simultaneously to determine threshold energies. At a tube voltage of 100 kV, the three threshold energies are 16, 35 and 52 keV, and two energy ranges are 16 - 35 and 52 - 100 keV. X-ray photons in the two ranges are counted using microcomputers, and the logical pulses from the two microcomputers are input to two frequency-voltage converters. In dual-energy computed tomography (CT), the tube voltage and current were 100 kV and 0.29 mA, respectively. Two tomograms were obtained simultaneously at two energy ranges. The energy ranges for gadolinium-L-edge and K-edge CT were 16 - 35 and 52 - 100 keV, respectively. The maximum count rate of dual-energy CT was 105 kilocounts per second with energies ranging from 16 to 100 keV, and the exposure time for tomography was 19.6 min.