全文获取类型
收费全文 | 10639篇 |
免费 | 978篇 |
国内免费 | 849篇 |
专业分类
耳鼻咽喉 | 87篇 |
儿科学 | 114篇 |
妇产科学 | 142篇 |
基础医学 | 1288篇 |
口腔科学 | 120篇 |
临床医学 | 1405篇 |
内科学 | 1567篇 |
皮肤病学 | 125篇 |
神经病学 | 585篇 |
特种医学 | 371篇 |
外国民族医学 | 10篇 |
外科学 | 979篇 |
综合类 | 1745篇 |
现状与发展 | 4篇 |
一般理论 | 1篇 |
预防医学 | 755篇 |
眼科学 | 463篇 |
药学 | 1138篇 |
7篇 | |
中国医学 | 600篇 |
肿瘤学 | 960篇 |
出版年
2024年 | 25篇 |
2023年 | 140篇 |
2022年 | 367篇 |
2021年 | 549篇 |
2020年 | 394篇 |
2019年 | 368篇 |
2018年 | 399篇 |
2017年 | 335篇 |
2016年 | 337篇 |
2015年 | 480篇 |
2014年 | 593篇 |
2013年 | 533篇 |
2012年 | 820篇 |
2011年 | 933篇 |
2010年 | 609篇 |
2009年 | 432篇 |
2008年 | 630篇 |
2007年 | 534篇 |
2006年 | 530篇 |
2005年 | 559篇 |
2004年 | 346篇 |
2003年 | 304篇 |
2002年 | 260篇 |
2001年 | 224篇 |
2000年 | 286篇 |
1999年 | 271篇 |
1998年 | 172篇 |
1997年 | 139篇 |
1996年 | 148篇 |
1995年 | 108篇 |
1994年 | 95篇 |
1993年 | 56篇 |
1992年 | 71篇 |
1991年 | 64篇 |
1990年 | 73篇 |
1989年 | 41篇 |
1988年 | 44篇 |
1987年 | 39篇 |
1986年 | 35篇 |
1985年 | 26篇 |
1984年 | 14篇 |
1983年 | 9篇 |
1981年 | 6篇 |
1980年 | 6篇 |
1977年 | 5篇 |
1976年 | 5篇 |
1974年 | 6篇 |
1973年 | 9篇 |
1972年 | 5篇 |
1970年 | 5篇 |
排序方式: 共有10000条查询结果,搜索用时 31 毫秒
11.
肺内小病灶CT表现及其病理基础的研究:附76例分析 总被引:9,自引:0,他引:9
本文对76例肺内小病灶(直径≤3cm)病例进行了CT-病理对照研究。结果表明,短毛刺征,深分叶征、棘状突起征、空泡征、血管集束征,胸膜凹陷征等对于诊断周围型小肺癌有重要临床价值;而尖角征、局限性胸膜肥厚粘连对诊断良性病灶有意义。本文重点讨论了血管集束征的定义,CT表现及病理基础;并就有争议的胸膜凹陷征提出一些粗浅的看法。旨在提高肺内小病灶良恶性诊断的准确率 相似文献
12.
13.
14.
人大肠癌不同转移潜能细胞株SW620及SW480的差异蛋白质组分析 总被引:2,自引:0,他引:2
15.
亚低温对大鼠脑损伤后脑组织炎性反应的影响 总被引:8,自引:0,他引:8
目的探讨颅脑外伤后早期应用亚低温治疗对脑组织炎性反应的影响。方法采用Feeney自由落体改良模型,设定对照组、颅脑外伤模型组及亚低温组,每组再根据伤后不同生存时间随分为3个亚组。取伤灶脑组织检测髓过氧化酶(MPO)活性,做细胞间黏附子-1(ICAM-1)免疫组化染色,光镜下计数ICAM-1阳性血管数。结果亚低温组各时间点伤灶区ICAM-1阳性血管数明显低于颅脑外伤模型相应时间点(P<0.01)。亚低温组各时间点MPO活性均明显低于颅脑外伤模型组相应时间点(P<0.01)。结论亚低温治疗能明显减少伤灶区白细胞浸润及ICAM-1的表达,有助于改善颅脑外伤后脑组织炎性反应引起的继发性脑损伤。 相似文献
16.
17.
腰椎间盘突出症是临床常见病、多发病。笔者2008年5月~12月采用火罐、按摩、中西药疗法保守治疗腰椎间盘突出症,取得了较满意疗效,现报道如下。 相似文献
18.
19.
References: 《生殖医学杂志》2007,16(Z1):56-59
Objective To investigate the correlation between TNF-α and IL-6 levels in cervical mucous during follicular development and ovulation stimulation in different protocols.Methods 36 infertile women were set up as experimental groups,divided into CC, HMG, IVF-ET group,each group consisted of 12 infertile women and 15 women with normal menstrual cycles were choiced as control group.Cervical mucous during follicular phase, luteal phase and ovulation phase were collected.TNF-α, IL-6 levels in cervical mucous were measured by radioimmunology assay (RIA).Follicular development were monitored by transvaginal ultrasonagraphy.Results (1) TNF-α levels in cervical mucous of experimental groups and control group were periodically various among the reproductive cycle.It increased during follicular phase, reached to peak during ovulation phase, and decreased during luteal phase (P<0.05).IL-6 levels had no obvious periodical changes.(2) Compared with CC and control group, levels of TNF-α,IL-6 in HMG and IVF-ET group were significantly higher (P<0.05).(3) Levels of TNF-α and IL-6 in cervical mucous were positively correlated with the dominant follicle diameter (r=0.261, r=0.192 respectively,P<0.05).(4) TNF-α and IL-6 showed positive correlation in the reproductive cycle (r=0.782,P<0.05).Conclusions (1) TNF-α level shows a cyclic change in the reproductive cycle and peaks during ovulation,whereas IL-6 level does not.(2) TNF-α and IL-6 may play a certain role in the process of follicular development and ovulation.(3)The levels of TNF-α and IL-6 are up-regulated by gonadotrophic hormone.(4) TNF-α and IL-6 may have coordination properties and participate in the same biological effects. 相似文献
20.
Xiaofang Chen Yueji Sun Haiyan Liu Yunqiao Ding Shujuan Liu Jinghua Chen Xueying Wang Zhenpeng Han Fang Qu 《中国神经再生研究》2006,1(8):763-765
BACKGROUND: Cognitive impairment after stroke associates with various factors, such as age, educational years, etc. Besides concerning about the recovery of limb function after stroke, we should also focus on the rehabilitation of cognition. Moreover, we'd better pay attention to the control of all the risk factors of stroke, and improve the quality of life in stroke patients.
OBJECTIVE: To analyze the factors that affect cognitive impairment after stroke.
DESIGN: A related factors analysis.
SETTINGS: Department of Neurology of Dalian Port Hospital and Dalian Second People's Hospital.
PARTICIPANTS: Totally 148 stroke inpatients were selected from Department of Neurology, Dalian Port Hospital and Dalian Second People's Hospital from April 2004 to December 2005, including 100 males and 48 females, aging 45-75 years with an average age of (67±8) years; Their educational years ranged 2-10 years with an average of (6.1±3.7) years; The disease course ranged 15-30 days; All were right-handed. Inclusive criteria: All were accorded with the diagnostic standard set by the Fourth National Academic Meeting for Cerebrovascular Disease; Confirmed by CT or MRI; Informed consents were obtained from all the subjects.
METHODS: After the disease conditions were stable, the patients were assessed with Wechsler memory scale (WMS) and Wisconsin card sorting test (WCST). WMS included forward and backward recitation of numbers and short-term memory (verbal memory, visual recognition). The number of times for correct and wrong classifications in WCST and the time to complete the trail making tests A and B were recorded. The focal volume, area and layer were recorded at 24 hours after admission. The general data of the patients were recorded, including name, sex, age, educational years, history of hypertension, history of diabetes mellitus. Electroencepalograph (EEG) was examined to record the wave shape, blood lipids were detected, and the cognition related indexes were analyzed with the Pearson correlation analysis. The correlation between cognitive indexes after stroke and the influencing factors were analyzed with multiple linear regression analysis.
MAIN OUTCOME MEASURES: ① Correlation between cognitive indexes and imaging indexes; ② Influencing factors for cognitive indexes after stroke.
RESULTS: All the 148 stroke patients were involved in the analysis of results. ① Correlation between cognitive indexes and CT indexes: There were obvious negative correlations between numerical symbol and focal layer (r =-0.234, P < 0.05), as well as between verbal memory and the focal area and volume (r =-0.363, -0.279, P < 0.05); Trail making test A had obvious positive correlation with focal area and volume (r =0.256, 0.256, P < 0.05). Results of multiple linear regression analysis: Correct classification was correlated with triglyceride (partial wave and θ wave (partial regression coefficient=0.231-0.908, P < 0.05); Verbal memory was correlated with EEG α wave, focal volume, sex, educational years and diabetes mellitus (partial regression coefficient=0.219-1.017, P < 0.05-0.01). Visual recognition had correlation with educational years and hypertension (partial regression coefficient=0.326, -1.163, P < 0.01). Trail making tests A and B were correlated with focal volume (partial regression coefficient=4.680, -18.561, P < 0.05).
CONCLUSION: The factors that affect the cognitive function after stroke include sex, age, educational years, hypertension, diabetes mellitus, triglyceride, EEG wave shape, and the focal area, volume and layer 相似文献