Evidence map›Paper›PMID 32867863›Full record

ArticleParasitology2020

30 years of parasitology research analysed by text mining.

John T Ellis, Bethany Ellis, Antonio Velez-Estevez, Michael P Reichel, Manuel J Cobo

Abstract read
In one paragraph

Article in Parasitology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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

5 authors.

John T EllisSchool of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW, Australia.ORCID 0000-0001-7328-4831
Bethany EllisResearch School of Earth Sciences, Australian National University, Canberra, ACT, Australia.
Antonio Velez-EstevezDepartment of Computer Science and Engineering, Universidad de Cádiz, Cadiz, Spain.
Michael P ReichelDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-9792-8336
Manuel J CoboDepartment of Computer Science and Engineering, Universidad de Cádiz, Cadiz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bibliometric methods were used to analyse the major research trends, themes and topics over the last 30 years in the parasitology discipline. The tools used were SciMAT, VOSviewer and SWIFT-Review in conjunction with the parasitology literature contained in the MEDLINE, Web of Science, Scopus and Dimensions databases. The analyses show that the major research themes are dynamic and continually changing with time, although some themes identified based on keywords such as malaria, nematode, epidemiology and phylogeny are consistently referenced over time. We note the major impact of countries like Brazil has had on the literature of parasitology research. The increase in recent times of research productivity on 'antiparasitics' is discussed, as well as the change in emphasis on different antiparasitic drugs and insecticides over time. In summary, innovation in parasitology is global, extensive, multidisciplinary, constantly evolving and closely aligned with the availability of technology.

Indexed as

BibliometricsDatabases, FactualData MiningParasitologyBibliometric analysesdatabaseparasitologypublishingscience mapping analysistopic modelstrends

Identifiers

PMID32867863
PMCPMC10317710

What OpenQuestion holds

Textmetadata
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.