Evidence map›Paper›PMID 35281525›Full record

ArticleJournal of healthcare engineering2022

Study on the Spatial Structure and Evolution Stage of Industrial R&D Ecosystem Based on Evolutionary Biology.

Ningning Yan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 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 It has been retracted, and should not be counted.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

1 author.

Ningning YanSchool of Management and Economics, Jingdezhen Ceramic University, Jingdezhen 333403, China.ORCID 0000-0001-8188-7923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The insufficient innovation ability is the biggest bottleneck for the upgrading of creative industry in China. Thus, it is an important way to structure the good R&D innovative ecosystem around perfecting the innovative chain for improving the innovation ability of creative industry. This paper discusses the theoretical connotation of the R&D innovation ecosystem of creative industry, studies the spatial structure of the R&D innovation ecosystem, and proposes the fact that the innovative population of R&D innovation ecosystem in creative industry can be divided into original innovative population, technological innovation population, innovation service population, innovation input population, and system innovation population. The research on the demand, financing, and business model of R&D breakthrough innovation in China's industry cannot be separated from the analysis of the evolution stages of various industries, because different strategies need to be formulated at different stages of development, and it is very important to accurately grasp the stage of industrial development. By introducing logistic curve equation, the breakthrough innovation of industrial R&D is divided into four stages: incubation stage, growth stage, evolution stage, and maturity stage, and the different characteristics of different stages of industry development are analyzed. Taking the breakthrough innovation of R&D in industry as an example, this paper uses the logistic empirical model based on factor analysis to study it. The results show that the breakthrough innovation of R&D in industry has entered a maturity stage.

Indexed as

EcosystemIndustryBiologyChinaHumansInventions

Identifiers

PMID35281525
PMCPMC8913051

What OpenQuestion holds

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Registered trials

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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.