Evidence map›Paper›PMID 28751483›Full record

ArticleBMJ open2017

Respiratory syncytial virus: a systematic scientometric analysis of the global publication output and the gender distribution of publishing authors.

Dörthe Brüggmann, Corinna Köster, Doris Klingelhöfer, Jan Bauer, Daniela Ohlendorf, Matthias Bundschuh, David A Groneberg

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Bibliometric Analysis of Human Metapneumovirus Studies.Infectious diseases & clinical microbiology · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. COVID-19 research progress: Bibliometrics and visualization analysis.Medical journal of the Islamic Republic of Iran · 2021
    Article
  7. Article
  8. Endometrial cancer: mapping the global landscape of research.Journal of translational medicine · 2020
    Article
  9. Review
  10. Review
  11. 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

7 authors at 2 institutions in 2 countries.

Dörthe BrüggmannDepartment of Obstetrics and Gynecology, Keck School of Medicine of USC, Los Angeles, California, USA.
Corinna KösterInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Doris KlingelhöferInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Jan BauerInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Daniela OhlendorfInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Matthias BundschuhInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
David A GronebergInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Goethe University Frankfurt · DEKeck Hospital of USC · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWorldwide, the respiratory syncytial virus (RSV) represents the predominant viral agent causing bronchiolitis and pneumonia in children. To conduct research and tackle existing healthcare disparities, RSV-related research activities around the globe need to be described. Hence, we assessed the associated scientific output (represented by research articles) by geographical, chronological and socioeconomic criteria and analysed the authors publishing in the field by gender. Also, the 15 most cited articles and the most prolific journals were identified for RSV research.

designRetrospective, descriptive study.

settingThe NewQIS (New Quality and Quantity Indices in Science) platform was employed to identify RSV-related articles published in the Web of Science until 2013. We performed a numerical analysis of all articles, and examined citation-based aspects (eg, citation rates); results were visualised by density equalising mapping tools.

resultsWe identified 4600 RSV-related articles. The USA led the field; US-American authors published 2139 articles (46.5%% of all identified articles), which have been cited 83 000 times. When output was related to socioeconomic benchmarks such as gross domestic product or Research and Development expenditures, Guinea-Bissau, The Gambia and Chile were ranked in leading positions. A total of 614 articles on RSV (13.34% of all articles) were attributed to scientific collaborations. These were primarily established between high-income countries. The gender analysis indicated that male scientists dominated in all countries except Brazil.

conclusionsThe majority of RSV-related research articles originated from high-income countries whereas developing nations showed only minimal publication productivity and were barely part of any collaborative networks. Hence, research capacity in these nations should be increased in order to assist in addressing inequities in resource allocation and the clinical burden of RSV in these countries.

Indexed as

BibliometricsRespiratory Syncytial VirusesBiomedical ResearchCooperative BehaviorFemaleHumansInternational CooperationJournal Impact FactorMalePublicationsRetrospective StudiesSex RatioSystems AnalysisCitationEconomic benchmarksGenderPublicationRespiratory Syncytial VirusScientometry

Identifiers

PMID28751483
PMCPMC5577886
OpenAlexW2740730459

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.