Evidence map›Paper›PMID 36034621›Full record

ArticleJournal of environmental and public health2022

Analysis of the Construction of Big Data Platform in Scenic Spots to Increase the Number of Tourists: Taking Sports Group Performance as an Example.

Lin Yu, Li Hua, Jiaran Ding

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Lin YuJiangxi University of Technology, Nanchang 330098, China.ORCID 0000-0003-4445-6272
Li HuaJiangxi University of Technology, Nanchang 330098, China.ORCID 0000-0001-7090-5962
Jiaran DingJiangxi University of Technology, Nanchang 330098, China.ORCID 0000-0001-5294-6322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction of a big data platform is the basis for improving the service level of scenic spots, and it is also a new media way to increase the number of tourists. At present, the scenic spot platform lacks effective evaluation methods and cannot analyze massive data, resulting in an insufficient increase in the number of tourists. Therefore, this paper analyzes the construction of the big data platform from the perspective of sports group performance, aiming at promoting the increase in the number of tourists in scenic spots. Firstly, the continuous clustering sampling method is used to make statistics on the massive tourist data in the platform. Secondly, the equidistant sampling coefficient is added to the sample data to ensure the validity of tourist data.

Indexed as

Big DataGroup Processes

Identifiers

PMID36034621
PMCPMC9410818

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.