Evidence map›Paper›PMID 36935697›Full record

ArticleFrontiers in public health2023

Adaptation and altitude sickness: A 40-year bibliometric analysis and collaborative networks.

J Pierre Zila-Velasque, Pamela Grados-Espinoza, Cristian Morán-Mariños, Kevin O Morales Pocco, Uriel S Capcha-Jimenez, Zhamanda N Ortiz-Benique

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
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

6 authors.

J Pierre Zila-VelasqueRed Latinoamericana de Medicina en la Altitud e Investigación, Pasco, Peru.
Pamela Grados-EspinozaRed Latinoamericana de Medicina en la Altitud e Investigación, Pasco, Peru.
Cristian Morán-MariñosUnidad de Investigación en Bibliometría, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.
Kevin O Morales PoccoRed Latinoamericana de Medicina en la Altitud e Investigación, Pasco, Peru.
Uriel S Capcha-JimenezRed Latinoamericana de Medicina en la Altitud e Investigación, Pasco, Peru.
Zhamanda N Ortiz-BeniqueRed Latinoamericana de Medicina en la Altitud e Investigación, Pasco, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We analyze the scientific production and collaboration networks of studies based on adaptation and altitude diseases in the period 1980-2020. Methods: The publications were extracted from journals indexed in Scopus. The bibliometric analysis was used to analyze the scientific production, including the number of annual publications, the documents, and the characteristics of the publications. With the VOSviewer software, the analysis of collaborative networks, productivity of the countries, as well as the analysis of the co-occurrence of keywords were visualized. Results: 15,240 documents were registered, of which 3,985 documents were analyzed. A significant trend was observed in the number of publications ( Conclusions: Scientific production on adaptation and altitude illnesses continues to grow. The United States and United Kingdom present collaborative networks with high-altitude countries. The research is aimed at studying the mechanisms of adaptation to altitude and acute mountain sickness.

Indexed as

Altitude SicknessBibliometricsEuropeHumansPublicationsUnited KingdomUnited Statesacclimatizationadaptationaltitudealtitude sicknessbibliometricshypoxia

Identifiers

PMID36935697
PMCPMC10018125

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measurements read31
Read underepoch 390

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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.