Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Yoo, Illhoi; Mosa, Abu Saleh Mohammad

doi:10.2196/medinform.3740

Cited by 27 publications

(24 citation statements)

References 82 publications

(113 reference statements)

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“…Despite a simple search interface, certain features of PubMed’s query translation algorithm may result in end users obtaining less than optimal search results [1619]. As a North American funded resource its coverage of the broader international research [20], especially that produced in low to middle-income countries, can be limited.…”

Section: Theory and Methodsmentioning

confidence: 99%

Finding the Integrated Care Evidence Base in PubMed and Beyond: A Bibliometric Study of the Challenges

Lewis¹,

Damarell²,

Tieman³

et al. 2018

International Journal of Integrated Care

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Introduction:Integrated care research evidence should be optimally visible and accessible to stakeholders. This study examines the contribution of specific databases to the discovery of integrated care evidence, and tests the usefulness of Medical Subject Heading (MeSH) indexing of this literature within PubMed.Methods:We used bibliometric methods to analyse the integrated care literature indexed within six databases between 2007 and 2016. An international expert advisory group assessed the relevance of citations randomly retrieved from PubMed using MeSH term ‘Delivery of Health Care, Integrated’.Results:Integrated care evidence is diffuse, spread across many journals. Between 2007 and 2016, integrated care citations grew substantially, with the rate of increase highest in Embase. PubMed contributes the largest proportion of unique citations (citations not included in any of the other databases analysed), followed by Embase, PsycINFO and CINAHL. On average, expert reviewers rated 42.5% of citations retrieved by MeSH term ‘Delivery of Health Care, Integrated’ as relevant to integrated care. When these citations were dual reviewed, inter-rater agreement was low.Conclusion:MeSH terms alone are insufficient to retrieve integrated care content from PubMed. Embase and CINAHL contain unique content not found in PubMed that should not be overlooked. A validated search filter is proposed to simplify the process of finding integrated care research for clinicians, managers and decision-makers.

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Section: Theory and Methodsmentioning

confidence: 99%

Finding the Integrated Care Evidence Base in PubMed and Beyond: A Bibliometric Study of the Challenges

Lewis¹,

Damarell²,

Tieman³

et al. 2018

International Journal of Integrated Care

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show abstract

“…In contrast, digital library search often only applies time-based measures and rarely other approaches to segment sessions. For example, in [12] a slidingwindow and a session-shift approach were used to segment PubMed user sessions. However, there are important differences between Web search and digital library or domain-specific search.…”

Section: Related Workmentioning

confidence: 99%

Recognizing Topic Change in Search Sessions of Digital Libraries Based on Thesaurus and Classification System

Hienert

Kern

2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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Log analysis in Web search showed that user sessions often contain several different topics. This means sessions need to be segmented into parts which handle the same topic in order to give appropriate user support based on the topic, and not on a mixture of topics. Different methods have been proposed to segment a user session to different topics based on timeouts, lexical analysis, query similarity or external knowledge sources. In this paper, we study the problem in a digital library for the social sciences. We present a method based on a thesaurus and a classification system which are typical knowledge organization systems in digital libraries. Five experts evaluated our approach and rated it as good for the segmentation of search sessions into parts that treat the same topic. CCS CONCEPTS• Information Systems~Users and interactive retrieval

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“…The studies show that users perform searches with higher recall and precision if they make use of IRS search functions [35][36][37] . As such, it is important to make users aware about different help facilities offered by IRS.…”

Section: Help Facilitiesmentioning

confidence: 99%

A step towards designing a Model Academic Search Interface

Shafiq¹

2018

DJLIT

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and subsequently determine their relative location, with a view to recommend ideal location of these features based on their utility and users' ease of mind. Data is harvested by assessing the search interfaces of seven academic databases subscribed by University of Kashmir. The select databases are individually assessed to harvest the required information. The study divulges that uniformity is observed by databases while positioning features like access points, and search box(s). However, no consistent approach is found while positioning other identified features. It is imperative to say that the study is first of its kind where an emphasis is laid on assessing the positioning of search interface features. The study can prove helpful for academic database designers while designing user-friendly academic databases.Keywords : Information retrieval; Information retrieval systems; Search interface; Search features; Browsing;Alerting service InTroDucTIonInformation Communication Technology (ICT) has revolutionised the world by producing and disseminating an endless amount of valuable and important information for every activity identified so far 1 . To find the relevant information in such a huge mass of information, an efficient and reliable information retrieval (IR) is necessary. IR is an iterative interactive process between users and a search system 2-5 . It is designed with a view that right information should be made available to the right user at the right time. Thus, the main objective of an information retrieval system (IRS) is to collect and organize information in order to provide it to users whenever they are in need of it 6 . During the early stages of IR, there was much role of an information professional than the users themselves. The professionals used to establish the information needs of users which were later satisfied using their expertise. Even though there is still some focus on intermediate searching, the present day web-based IR systems are designed in such a way where users can search themselves to fulfill their information needs

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Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users

Cited by 27 publications

References 82 publications

Finding the Integrated Care Evidence Base in PubMed and Beyond: A Bibliometric Study of the Challenges

Finding the Integrated Care Evidence Base in PubMed and Beyond: A Bibliometric Study of the Challenges

Recognizing Topic Change in Search Sessions of Digital Libraries Based on Thesaurus and Classification System

A step towards designing a Model Academic Search Interface

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