Evidence map›Paper›PMID 21999813›Full record

ArticleInternational journal of health geographics2011

Drowning--a scientometric analysis and data acquisition of a constant global problem employing density equalizing mapping and scientometric benchmarking procedures.

David A Groneberg, Ute Schilling, Cristian Scutaru, Stefanie Uibel, Simona Zitnik, Daniel Mueller, Doris Klingelhoefer, Beatrix Kloft

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Evolution and current state of global research on paediatric resuscitation: a systematic scientometric analysis.Scandinavian journal of trauma, resuscitation and emergency medicine · 2020
    Pooled it
  2. Caesarean Section--A Density-Equalizing Mapping Study to Depict Its Global Research Architecture.International journal of environmental research and public health · 2015
    Pooled it
  3. Mammography: density equalizing mapping of the global research architecture.Quantitative imaging in medicine and surgery · 2021
    Article
  4. Article
  5. Article
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  7. Visualizing statistical significance of disease clusters using cartograms.International journal of health geographics · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Bacterial meningitis: a density-equalizing mapping analysis of the global research architecture.International journal of environmental research and public health · 2014
    Article
  13. Article
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  15. 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

8 authors at 2 institutions in 1 country.

David A GronebergInstitute of Occupational, Social and Environmental Medicine, Goethe-University, Frankfurt, Germany.
Ute Schilling
Cristian Scutaru
Stefanie Uibel
Simona Zitnik
Daniel Mueller
Doris Klingelhoefer
Beatrix Kloft
Goethe University Frankfurt · DECharité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrowning is a constant global problem which claims approximately half a million victims worldwide each year, whereas the number of near-drowning victims is considerably higher. Public health strategies to reduce the burden of death are still limited. While research activities in the subject drowning grow constantly, yet there is no scientometric evaluation of the existing literature at the present time.

methodsThe current study uses classical bibliometric tools and visualizing techniques such as density equalizing mapping to analyse and evaluate the scientific research in the field of drowning. The interpretation of the achieved results is also implemented in the context of the data collection of the WHO.

resultsAll studies related to drowning and listed in the ISI-Web of Science database since 1900 were identified using the search term "drowning". Implementing bibliometric methods, a constant increase in quantitative markers such as number of publications per state, publication language or collaborations as well as qualitative markers such as citations were observed for research in the field of drowning. The combination with density equalizing mapping exposed different global patterns for research productivity and the total number of drowning deaths and drowning rates respectively. Chart techniques were used to illustrate bi- and multilateral research cooperation.

conclusionsThe present study provides the first scientometric approach that visualizes research activity on the subject of drowning. It can be assumed that the scientific approach to this topic will achieve even greater dimensions because of its continuing actuality.

Indexed as

BibliometricsEpidemiologic Research DesignBenchmarkingDrowningGlobal HealthHumansNear Drowning

Identifiers

PMID21999813
PMCPMC3229455
OpenAlexW2160950152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.