Evidence map›Paper›PMID 33806391›Full record

ArticleInternational journal of environmental research and public health2021

'Dr. Google, What Is That on My Skin?'-Internet Searches Related to Skin Problems: Google Trends Data from 2004 to 2019.

Mikołaj Kamiński, Linda Tizek, Alexander Zink

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
1.2field-weighted citation impact, top 22% 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, 11 citations in OpenAlex.

  1. Article
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  8. Seasonal Patterns and Trends in Dermatoses in Poland.International journal of environmental research and public health · 2022
    Article
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  10. Article
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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

3 authors at 1 institution in 1 country.

Mikołaj KamińskiIndividual Medical Practice, Bogdanowo, 64-600 Oborniki, Poland.ORCID 0000-0002-4394-0460
Linda TizekDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, 80802 Munich, Germany.ORCID 0000-0002-2749-9791
Alexander ZinkDepartment of Dermatology and Allergy, School of Medicine, Technical University of Munich, 80802 Munich, Germany.ORCID 0000-0001-9313-6588
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet is a common source of health information as search engines propose websites that should answer users' queries. The study aimed to investigate the search behavior of Google users related to skin clinical signs as well as to analyze their geographical, secular, and seasonal patterns. The data of Google Trends was used to analyze the number of Google searches related to skin problems from January 2004 to December 2019. Thirty-four topics representing dermatologic complaints were identified. The interests of all topics were calculated in proportion to the Relative Search Volume (RSV) of 'Scar'. Geographical patterns as well as secular and seasonal trends were analyzed. Countries with few users who searched for skin problems were excluded from the analysis. Globally, gaining the most attention were 'Itch' proportion to RSV of 'Itch' (2.21), 'Hair loss' (1.56), 'Skin rash' (1.38), 'Perspiration' (1.32), and 'Scar' (1.00). In 42 of the 65 analyzed countries, 'Itch' was the most popular topic, followed by 'Hair loss' (

Indexed as

PruritusSearch EngineHumansInternetGoogle TrendsinfodemiologyInternetperspirationpruritusskin manifestations

Identifiers

PMID33806391
PMCPMC7967401
OpenAlexW3037700029

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.