PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 15243644

Current findings from research on structured abstracts.

James Hartley
View original source ↗Export metadata ↓

Abstract

BACKGROUND: Structured abstracts were introduced into medical research journals in the mid 1980s. Since then they have been widely used in this and other contexts. AIM: The aim of this paper is to summarize the main findings from research on structured abstracts and to discuss the limitations of some aspects of this research. METHOD: A narrative literature review of all of the relevant papers known to the author was conducted. RESULTS: Structured abstracts are typically longer than traditional ones, but they are also judged to be more informative and accessible. Authors and readers also judge them to be more useful than traditional abstracts. However, not all studies use "real-life" published examples from different authors in their work, and more work needs to be done in some cases. CONCLUSIONS: The findings generally support the notion that structured abstracts can be profitably introduced into research journals. Some arguments for this, however, have more research support than others.

Explore related subjects

Abstracting and IndexingDiffusion of InnovationHumansJournalism, MedicalPeriodicals as TopicResearch DesignWritingJournal ArticleReview

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

James Hartley. 2004. Current findings from research on structured abstracts.. https://pubmed.ncbi.nlm.nih.gov/15243644/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

A comparative evaluation of full-text, concept-based, and context-sensitive search.

OBJECTIVES: Study comparatively (1) concept-based search, using documents pre-indexed by a conceptual hierarchy; (2) context-sensitive search, using structured, labeled documents; and (3) traditional full-text search. Hypotheses were: (1) more contexts lead to better retrieval accuracy; and (2) adding concept-based search to the other searches would improve upon their baseline performances. DESIGN: Use our Vaidurya architecture, for search and retrieval evaluation, of structured documents classified by a conceptual hierarchy, on a clinical guidelines test collection. MEASUREMENTS: Precision computed at different levels of recall to assess the contribution of the retrieval methods. Comparisons of precisions done with recall set at 0.5, using t-tests. RESULTS: Performance increased monotonically with the number of query context elements. Adding context-sensitive elements, mean improvement was 11.1% at recall 0.5. With three contexts, mean query precision was 42% +/- 17% (95% confidence interval [CI], 31% to 53%); with two contexts, 32% +/- 13% (95% CI, 27% to 38%); and one context, 20% +/- 9% (95% CI, 15% to 24%). Adding context-based queries to full-text queries monotonically improved precision beyond the 0.4 level of recall. Mean improvement was 4.5% at recall 0.5. Adding concept-based search to full-text search improved precision to 19.4% at recall 0.5. CONCLUSIONS: The study demonstrated usefulness of concept-based and context-sensitive queries for enhancing the precision of retrieval from a digital library of semi-structured clinical guideline documents. Concept-based searches outperformed free-text queries, especially when baseline precision was low. In general, the more ontological elements used in the query, the greater the resulting precision.

Abstracting and Indexing↗
PubMed2007

Improvements to the Red List Index.

The Red List Index uses information from the IUCN Red List to track trends in the projected overall extinction risk of sets of species. It has been widely recognised as an important component of the suite of indicators needed to measure progress towards the international target of significantly reducing the rate of biodiversity loss by 2010. However, further application of the RLI (to non-avian taxa in particular) has revealed some shortcomings in the original formula and approach: It performs inappropriately when a value of zero is reached; RLI values are affected by the frequency of assessments; and newly evaluated species may introduce bias. Here we propose a revision to the formula, and recommend how it should be applied in order to overcome these shortcomings. Two additional advantages of the revisions are that assessment errors are not propagated through time, and the overall level extinction risk can be determined as well as trends in this over time.

Abstracting and Indexing↗