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生物本体研究信息分析报告

已有 3547 次阅读 2013-12-8 14:55 |个人分类:信息分析|系统分类:科研笔记


 

生物本体(Biological Ontologies)2014年版美国医学主题词表(MESH)的正式主题词,PUBMED/MEDLINE数据库中检索到相关文献844篇,研究内容包括生物医学本体、基因本体等。

National Library of Medicine - Medical Subject Headings2014 MeSHMeSH Descriptor Data

Return to Entry Page


Standard View. Go to Concept View; Go to Expanded Concept View


MeSH HeadingBiological Ontologies  生物本体
Tree NumberL01.224.065.480.500   学科分类范畴
Tree NumberL01.453.245.945.079
Tree NumberL01.700.508.300.550.500
Scope Note概念范围注释Structured vocabularies describing concepts from the fields of biology and relationships between concepts.生物学领域概念关系的结构化词汇概念描述
Entry Term 入口词汇Biologic Ontologies  生物本体
Entry TermBiomedical Ontologies   生物医学本体
Allowable Qualifiers 可组配的副主题词 HI OG SN TD
History Note 历史注释2014
Date of Entry 收入词表的日期20130708
Unique ID 词汇编码D064229



MeSH Tree Structures   主题词树形结构表(分类范畴表)

Information Science [L01]
  Computing Methodologies [L01.224]
     Artificial Intelligence [L01.224.065]
        Knowledge Bases [L01.224.065.480]
Arrow pointing to current tree nodeBiological Ontologies 生物本体[L01.224.065.480.500]
Gene Ontology 基因本体 [L01.224.065.480.500.500]

 

MH  - Gene Ontology\基因本体论

MS  - Sets of structured vocabularies used for describing and categorizing genes, and gene products by their molecular function, involvement in biological processes, and cellular location. These vocabularies and their associations to genes and gene products (Gene Ontology annotations) are generated and curated by the Gene Ontology Consortium.

     依据分子功能、参与的生物过程以及细胞定位对基因与基因产物进行描述和分类的结构化词汇。这些词汇及基因与基因产物(基因本体注释)的关联由基因本体论协会编制。

HN  - 2014


Information Science [L01]
  Information Services [L01.453]
     Documentation [L01.453.245]
        Vocabulary, Controlled [L01.453.245.945]
Arrow pointing to current tree nodeBiological Ontologies [L01.453.245.945.079]
Gene Ontology [L01.453.245.945.079.500]
Current Procedural Terminology [L01.453.245.945.160]
Diagnostic and Statistical Manual of Mental Disorders [L01.453.245.945.200]
Healthcare Common Procedure Coding System [L01.453.245.945.380]
International Classification of Diseases [L01.453.245.945.400]
International Classification of Functioning, Disability and Health [L01.453.245.945.450]
Logical Observation Identifiers Names and Codes [L01.453.245.945.500]
Subject Headings [L01.453.245.945.700]  +
Systematized Nomenclature of Medicine [L01.453.245.945.720]
Unified Medical Language System [L01.453.245.945.800]

 

Information Science [L01]
  Medical Informatics [L01.700]
     Medical Informatics Applications [L01.700.508]
        Information Systems [L01.700.508.300]
           Knowledge Bases [L01.700.508.300.550]
Arrow pointing to current tree nodeBiological Ontologies [L01.700.508.300.550.500]
Gene Ontology [L01.700.508.300.550.500.500]

http://www.nlm.nih.gov/cgi/mesh/2014/MB_cgi?mode=&term=Biological+Ontologies&field=entry#TreeL01.224.065.480.500

 

检索日期 2013年12月8日15时

检索策略  

Search Details

Query Translation:

Search URL
Result:
844
Translations:
Biological"biology"[MeSH Terms] OR "biology"[All Fields] OR "biological"[All Fields]
Database:
PubMed
User query:
Biological Ontologies

http://www.ncbi.nlm.nih.gov/pubmed/details?querykey=1

 

检索结果 PUBMED数据库检索到844篇文献

分析平台  http://www.pubmedplus.cn/ 

分析结果

研究主题领域

字段:主题词
记录数
占%
01.medical informatics    499 59.123%
02.biology    470 55.687%
04.computational biology    429 50.829%
05.databases as topic    398 47.156%
06.databases, factual    367 43.483%
07.software    305 36.137%
08.documentation    255 30.213%
09.databases, genetic    231 27.370%
10.vocabulary, controlled    192 22.749%
11.internet    151 17.891%
12.proteins    148 17.536%
13.genome    144 17.062%
14.models, theoretical    126 14.929%
15.genomics    125 14.810%
16.artificial intelligence    123 14.573%
17.gene expression profiling    114 13.507%
19.models, biological    106 12.559%
20.user-computer interface    105 12.441%
21.genes    105 12.441%
22.algorithms    103 12.204%
23.semantics    94 11.137%
24.terminology as topic    93 11.019%
28.phenotype    66 7.820%
29.databases, protein    56 6.635%
30.computer simulation    53 6.280%
31.gene expression    52 6.161%
32.systems integration    50 5.924%
33.cluster analysis    41 4.858%
34.systems biology    40 4.739%
35.models, genetic    39 4.621%
36.anatomy    36 4.265%
37.biomedical research    36 4.265%
38.classification    36 4.265%
39.programming languages    35 4.147%
40.proteomics    35 4.147%
42.signal transduction    30 3.555%
43.data mining    28 3.318%
45.chromosome mapping    24 2.844%
46.rna, messenger    23 2.725%
47.proteome    22 2.607%
48.computer graphics    22 2.607%
49.molecular biology    19 2.251%
50.abstracting and indexing as topic    18 

2.133

字段:主题词与主题词
记录数
占%
20.主题词中同时含有"gene expression regulation, plant"与"oryza sativa"    3 

0.355


字段:作者缩写
记录数
占%
01.Smith B    27 3.199%
02.Gkoutos GV    21 2.488%
03.Mungall CJ    18 2.133%
04.Blake JA    15 1.777%
05.Hastings J    10 1.185%
06.Jaiswal P    9 1.066%
07.Martone ME    8 0.948%
08.Eppig JT    7 0.829%
09.Lewis SE    7 0.829%
10.Diehl AD    6 0.711%
11.Arighi CN    6 0.711%
12.Shimoyama M    6 0.711%
13.Cannataro M    5 0.592%
14.Huang H    5 0.592%
15.Fang H    4 0.474%
16.Gough J    4 0.474%
17.D'Eustachio P    4 0.474%
18.Nigam R    4 0.474%
19.Dwinell MR    4 0.474%
20.Fernández-Breis JT    4 0.474%
21.Guzzi PH    4 0.474%
22.Schofield P    4 0.474%
23.Natale DA    4 0.474%
24.Steinbeck C    4 0.474%
25.Berardini TZ    3 0.355%
26.Ennis M    3 0.355%
27.Fuellen G    3 0.355%
28.Smith JR    3 0.355%
29.Smith CL    3 0.355%
30.Imam FT    3 0.355%
31.Preece J    3 0.355%
32.Smedley D    3 0.355%
33.Sullivan DA    3 0.355%
34.Dekker A    2 0.237%
35.Dutkowski J    2 0.237%
36.Ideker T    2 0.237%
37.Hofmann-Apitius M    2 0.237%
38.Fontaine JF    2 0.237%
39.Kania R    2 0.237%
40.Kale N    2 0.237%
41.Jansen L    2 0.237%
42.Kurtz A    2 0.237%
43.Liu S    2 0.237%
44.Munzenmaier DH    2 0.237%
45.Ren J    2 0.237%
46.Muthukrishnan V    2 0.237%
47.Leser U    2 0.237%
48.Kramer M    2 0.237%
49.Owen G    2 0.237%
50.Turner S    2 

0.237

字段:机构
记录数
占%
03.university of california    22 2.607%
04.university of cambridge    19 2.251%
05.the jackson laboratory    17 2.014%
06.university of manchester    17 2.014%
07.stanford university    16 1.896%
08.university of washington    15 1.777%
09.university of leipzig    11 1.303%
10.center for bioinformatics    9 1.066%
13.columbia university    8 0.948%
14.sri international    7 0.829%
15.university at buffalo    7 0.829%
16.iowa state university    7 0.829%
17.university of edinburgh    7 0.829%
19.politecnico di milano    6 0.711%
23.cornell university    5 0.592%
24.university of oxford    5 0.592%
25.university of delaware    5 0.592%
28.yale university    5 0.592%
31.oklahoma state university    5 0.592%
34.university of missouri    4 0.474%
37.harvard university    3 0.355%
49.harvard medical school    2 0.237%
50.north carolina state university    2 

0.237

字段:国家
记录数
占%
01.美国    331 39.218%
02.英国    124 14.692%
03.德国    86 10.190%
04.意大利    36 4.265%
05.西班牙    25 2.962%
06.法国    22 2.607%
07.加拿大    22 2.607%
08.中国大陆    16 1.896%
09.瑞士    15 1.777%
10.澳大利亚    15 1.777%
11.希腊    13 1.540%
12.瑞典    12 1.422%
13.荷兰    11 1.303%
14.日本    11 1.303%
15.芬兰    10 1.185%
16.印度    9 1.066%
17.比利时    8 0.948%
18.南非    7 0.829%
19.韩国    7 0.829%
20.巴西    6 0.711%
21.新西兰    6 0.711%
22.奥地利    6 0.711%
23.葡萄牙    5 0.592%
24.挪威    4 0.474%
25.爱尔兰    4 0.474%
26.马来西亚    3 0.355%
27.俄罗斯    3 0.355%
28.以色列    3 0.355%
29.墨西哥    3 0.355%
30.新加坡    3 0.355%
31.丹麦    3 0.355%
32.斯洛文尼亚    3 0.355%
33.土耳其    1 0.118%
34.肯尼亚    1 0.118%
35.罗马尼亚    1 0.118%
36.乌克兰    1 0.118%
37.伊朗    1 0.118%
38.匈牙利    1 

0.118

字段:年份
记录数
占%
01.2011    98 11.611%
02.2012    97 11.493%
03.2009    94 11.137%
04.2010    94 11.137%
05.2013    88 10.427%
06.2008    78 9.242%
07.2007    72 8.531%
08.2006    68 8.057%
09.2005    53 6.280%
10.2004    44 5.213%
11.2002    25 2.962%
12.2003    19 2.251%
13.2001    7 0.829%
14.2000    4 0.474%
15.1997    1 0.118%
16.1998    1 0.118%
17.1999    1 

0.118

字段:期刊
记录数
占%
01.BMC Bioinformatics    113 13.389%
02.Bioinformatics    61 7.227%
03.Nucleic Acids Res    56 6.635%
04.J Biomed Inform    34 4.028%
05.PLoS One    33 3.910%
06.Brief Bioinform    25 2.962%
07.Pac Symp Biocomput    24 2.844%
08.J Biomed Semantics    22 2.607%
09.AMIA Annu Symp Proc    18 2.133%
10.BMC Genomics    15 1.777%
12.Methods Mol Biol    13 1.540%
13.Database (Oxford)    12 1.422%
14.Comp Funct Genomics    11 1.303%
16.Genome Biol    9 1.066%
17.In Silico Biol    9 1.066%
18.Nat Biotechnol    8 0.948%
19.PLoS Comput Biol    7 0.829%
20.Int J Bioinform Res Appl    6 0.711%
21.Front Genet    6 0.711%
22.Artif Intell Med    6 0.711%
23.Methods Inf Med    6 0.711%
24.Genomics    5 0.592%
26.OMICS    5 0.592%
27.Plant Physiol    5 0.592%
28.Proteomics    5 0.592%
29.J Integr Bioinform    5 0.592%
30.Neuroinformatics    4 0.474%
31.Genome Res    4 0.474%
32.Int J Med Inform    4 0.474%
33.Mol Biosyst    4 0.474%
34.Mamm Genome    4 0.474%
36.Physiol Genomics    3 0.355%
38.Int J Data Min Bioinform    3 0.355%
39.Hum Mutat    3 0.355%
40.IEEE Trans Biomed Eng    3 0.355%
41.Methods Enzymol    3 0.355%
42.Proc AMIA Symp    3 0.355%
43.Comput Biol Med    2 0.237%
45.PLoS Biol    2 0.237%
46.Adv Exp Med Biol    2 0.237%
47.Immunogenetics    2 0.237%
48.Prog Biophys Mol Biol    2 0.237%
49.Mol Biol Rep    2 0.237%
50.Biol Reprod    1 0.118%











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