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131.
高尿酸血症以及痛风的发病率持续升高,已经成为一个重大的公共卫生问题。肠道菌群的结构改变或失调可引起机体代谢紊乱,肠道微生态尤其与代谢性疾病的发生发展关系密切。目前研究发现高尿酸血症、痛风患者存在肠道菌群失调,降尿酸治疗后肠道菌群可发生相应改变,并且益生菌制剂具有降尿酸作用。本文概述高尿酸血症及痛风患者的肠道菌群特点,从高嘌呤及高果糖饮食对肠道菌群的影响、肠道参与嘌呤和尿酸的代谢、代谢性内毒素血症以及痛风相关炎症因子等方面探讨肠道菌群与高尿酸血症及痛风的关系,并展望肠道菌群可能成为未来诊治高尿酸血症以及痛风的一种新方法。 相似文献
132.
近年来,与医学相关的营养与代谢的研究出现不少新的认识与新发现。本文总结了以下5个方面的新概念:供能的营养物质不仅是供能,还需注意他们对健康的影响;以构成蔗糖分子一半的果糖为例,它竟然是促成代谢综合征、心脑血管病等疾病的因素;食物纤维是极其重要不可或缺的营养素;应高度重视维护正常肠道菌群,因为它与人体的健康与多种疾病密切相关;全食物营养不仅能维持生命,还能增强体质、避免和减少疾病;植物营养素具有抗氧化、抗炎症及抗癌等作用,是全食物营养不可或缺的组成部分。人体营养与物质代谢研究的终极目标是:增强体质,预防和减少疾病,健康长寿。希望本文能够带给读者一些启发。 相似文献
133.
Quantitative light‐induced fluorescence (QLF) technology can detect some dental plaque as red fluorescence. This in vivo study aimed to identify the microbial characteristics of red fluorescent (RF) dental plaque using 16S rRNA gene sequencing and evaluate the correlations between RF plaque and the clinical symptoms of dental diseases. Paired supragingival plaque samples collected from each 10 subjects and consisted of RF and non‐RF dental plaques as observed by QLF technology using a 405 nm blue light source for excitation. The characteristics of the bacterial communities in the RF and non‐RF plaque samples were compared by sequencing analysis. An increase in microbial diversity was observed in RF plaque compared with the non‐RF plaque. There were significant differences in the community compositions between the 2 types of dental plaque. Periodontopathic bacteria were significantly more abundant in the RF plaque than non‐RF plaque. The fluorescence intensity of RF plaque was significantly related to the proportion of the periodontopathic bacterial community and the presence of gingival inflammation. In conclusion, the plaque red fluorescence is associated with changes in the microbial composition and enrichment of periodontopathic pathogens, which suggests that RF plaque detected by QLF technology could be used as a risk indicator for gingival inflammation. 相似文献
134.
Kengo Sasaki Jun Inoue Daisuke Sasaki Namiko Hoshi Tomokazu Shirai Itsuko Fukuda Takeshi Azuma Akihiko Kondo Ro Osawa 《Biotechnology journal》2019,14(5)
Compositional alteration of the gut microbiota is associated with ulcerative colitis (UC). Here, a model culture system is established for the in vitro human colonic microbiota of UC, which will be helpful for determining medical interventions. 16S ribosomal RNA sequencing confirms that UC models are successfully developed from fecal inoculum and retain the bacterial species biodiversity of UC feces. The UC models closely reproduce the microbial components and successfully preserve distinct clusters from the healthy subjects (HS), as observed in the feces. The relative abundance of bacteria belonging to the family Lachnospiraceae significantly decreases in the UC models compared to that in HS, as observed in the feces. The system detects significantly lower butyrogenesis in the UC models than that in HS, correlating with the decreased abundance of Lachnospiraceae. Interestingly, the relative abundance of Lachnospiraceae does not correlate with disease activity (defined as partial Mayo score), suggesting that Lachnospiraceae persists in UC patients at a decreased level, irrespective of the alteration in disease activity. Moreover, the system shows that administration of Clostridium butyricum MIYAIRI restores butyrogenesis in the UC model. Hence, the model detects deregulation in the intestinal environment in UC patients and may be useful for simulating the effect of probiotics. 相似文献
135.
Shirin Moossavi Shadi Sepehri Bianca Robertson Lars Bode Sue Goruk Catherine J. Field Lisa M. Lix Russell J. de Souza Allan B. Becker Piushkumar J. Mandhane Stuart E. Turvey Padmaja Subbarao Theo J. Moraes Diana L. Lefebvre Malcolm R. Sears Ehsan Khafipour Meghan B. Azad 《Cell host & microbe》2019,25(2):324-335.e4
136.
Nicola Vannini Vasco Campos Mukul Girotra Vincent Trachsel Shanti Rojas-Sutterlin Josefine Tratwal Simone Ragusa Evangelos Stefanidis Dongryeol Ryu Pernille Y. Rainer Gena Nikitin Sonja Giger Terytty Y. Li Aikaterini Semilietof Aurelien Oggier Yannick Yersin Loïc Tauzin Eija Pirinen Olaia Naveiras 《Cell Stem Cell》2019,24(3):405-418.e7
137.
Jianing Fu Julien Zuber Mercedes Martinez Brittany Shonts Aleksandar Obradovic Hui Wang Sai-ping Lau Amy Xia Elizabeth E. Waffarn Kristjana Frangaj Thomas M. Savage Michael T. Simpson Suxiao Yang Xinzheng V. Guo Michelle Miron Takashi Senda Kortney Rogers Adeeb Rahman Megan Sykes 《Cell Stem Cell》2019,24(2):227-239.e8
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139.