Evidence map›Paper›PMID 21245076›Full record

ReviewDatabase : the journal of biological databases and curation2011

PubMed and beyond: a survey of web tools for searching biomedical literature.

Zhiyong Lu

Abstract readReview
In one paragraph

Review in Database : the journal of biological databases and curation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

182 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Fetal myelomeningocele repair after the MOMS trial: a systematic review of neurosurgical outcomes and evolving techniques.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Pooled it
  7. Pooled it
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Context-Aware Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2024
    Article
  20. Article

122 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Zhiyong LuNational Center for Biotechnology Information (NCBI), National Library of Medicine, Bethesda, MD 20894, USA. zhiyong.lu@nih.gov

Funding

Query Log Analysis for Improving User Access to NCBI Web ServicesZIALM000001 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LU, ZHIYONG · 2011 to 2021
$12.8M
Intramural NIH HHS
6 · The paper itself

Abstract

The past decade has witnessed the modern advances of high-throughput technology and rapid growth of research capacity in producing large-scale biological data, both of which were concomitant with an exponential growth of biomedical literature. This wealth of scholarly knowledge is of significant importance for researchers in making scientific discoveries and healthcare professionals in managing health-related matters. However, the acquisition of such information is becoming increasingly difficult due to its large volume and rapid growth. In response, the National Center for Biotechnology Information (NCBI) is continuously making changes to its PubMed Web service for improvement. Meanwhile, different entities have devoted themselves to developing Web tools for helping users quickly and efficiently search and retrieve relevant publications. These practices, together with maturity in the field of text mining, have led to an increase in the number and quality of various Web tools that provide comparable literature search service to PubMed. In this study, we review 28 such tools, highlight their respective innovations, compare them to the PubMed system and one another, and discuss directions for future development. Furthermore, we have built a website dedicated to tracking existing systems and future advances in the field of biomedical literature search. Taken together, our work serves information seekers in choosing tools for their needs and service providers and developers in keeping current in the field. Database URL: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/search.

Indexed as

Biomedical ResearchDatabase Management SystemsInternetPubMedData MiningSoftware

Identifiers

PMID21245076
PMCPMC3025693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.