亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Information Retrieval in Food Science Research: A Bibliographic Database Analysis

数据库 计算机科学 选择(遗传算法) 情报检索 书目数据库 数据科学 人工智能
作者
Tuba Karaarslan Urhan,Hannah Rempel,Lisbeth Meunier‐Goddik,Michael H. Penner
出处
期刊:Journal of Food Science [Wiley]
卷期号:83 (12): 2912-2922 被引量:6
标识
DOI:10.1111/1750-3841.14388
摘要

The aim of the present research was to ascertain the importance of electronic bibliographic database selection and multiple database usage during the information retrieval phase of research in the food sciences. Six commonly recommended databases were compared with respect to overall journal coverage and journal overlap. Databases were also evaluated with respect to coverage of food science-based journals and the extent of article coverage therein. A case study approach, focused on bile acid/dietary fiber interactions, was used to illustrate the ramifications of database selection/usage when dealing with specific research topics. Databases differed with respect to the breadth of disciplines covered, the total number of journals indexed, the number of food science discipline-specific journals indexed, and the number of articles included per indexed journal. All of the databases contained citations that were unique to the given database. The data resulting from the case study provide an example of the extent to which relevant information may be missed if pertinent databases are not mined. In the present case, over half of the articles retrieved on the focus research topic were unique to a single database. The combined data from this study point to the importance of thoughtful database selection and multiple database usage when comprehensively assessing knowledge in the food sciences. PRACTICAL APPLICATION: This paper provides insights into article database usage for food science-relevant information retrieval. Online information retrieval is an efficient way to assess current knowledge in any of the food science disciplines. Acquired knowledge in turn is the underpinning of effective problem solving; whether it be private sector- or academic/government-based research.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
香蕉外套完成签到,获得积分20
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
8秒前
研友_EZ1oWL完成签到 ,获得积分20
11秒前
多边棱发布了新的文献求助10
14秒前
科研通AI5应助小米辣采纳,获得10
1分钟前
白色的猫猫完成签到,获得积分10
1分钟前
1分钟前
mmmio应助未解的波采纳,获得20
1分钟前
1分钟前
火星完成签到 ,获得积分10
1分钟前
1分钟前
多边棱发布了新的文献求助10
1分钟前
量子星尘发布了新的文献求助10
2分钟前
牛八先生完成签到,获得积分10
2分钟前
2分钟前
2分钟前
3分钟前
3分钟前
多边棱发布了新的文献求助10
3分钟前
3分钟前
碗碗完成签到,获得积分10
4分钟前
4分钟前
Lucas应助yzbbb采纳,获得10
4分钟前
量子星尘发布了新的文献求助10
4分钟前
5分钟前
yzbbb发布了新的文献求助10
5分钟前
5分钟前
arsenal发布了新的文献求助10
6分钟前
精明凡双应助科研通管家采纳,获得20
6分钟前
艺_完成签到 ,获得积分10
6分钟前
懒得取名字完成签到,获得积分10
6分钟前
6分钟前
6分钟前
6分钟前
随机科研完成签到,获得积分20
6分钟前
苏梗完成签到 ,获得积分10
6分钟前
量子星尘发布了新的文献求助10
6分钟前
6分钟前
随机科研发布了新的文献求助30
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 300
Two New β-Class Milbemycins from Streptomyces bingchenggensis: Fermentation, Isolation, Structure Elucidation and Biological Properties 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4653202
求助须知:如何正确求助?哪些是违规求助? 4039831
关于积分的说明 12494473
捐赠科研通 3730542
什么是DOI,文献DOI怎么找? 2059222
邀请新用户注册赠送积分活动 1089908
科研通“疑难数据库(出版商)”最低求助积分说明 971009