Evidence map›Paper›PMID 36091539›Full record

ArticleFrontiers in public health2022

Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels.

Wei Xia, Zilin Wang, Jindou Zhang, Jianping Yu, Liping Qiu, Zedong Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 5 institutions in 1 country.

Wei XiaInstitute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Zilin WangSchool of Trade Negotiations, Shanghai University of International Business and Economics, Shanghai, China.
Jindou ZhangSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Jianping YuSchool of Business Administration, Jimei University, Xiamen, China.
Liping QiuChina Center for Economic Research, East China Normal University, Shanghai, China.
Zedong YangXinjiang Innovation Management Research Center, Xinjiang University, Urumqii, China.
Shanghai University of International Business and Economics · CNBeijing University of Chinese Medicine · CNEast China Normal University · CNInnovation Team (China) · CNJimei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chinese Plan has provided an important model for the global fight against COVID-19 since its outbreak. The present study describes the structural characteristics of China's COVID-19 patent cooperation network at the province, city, and applicant levels by using social network analysis based on data from the Incopat global patent database since 2020, which helps to clarify the current technology accumulation in this field in China, and provide patent information support for the scientific efforts to fight against COVID-19. The findings are as follows: First, the inter-regional cooperation level in China's COVID-19 patent cooperation network shows a decreasing trend from eastern to central to western regions. At the inter-applicant cooperation level, kinship-based cooperation is the strongest, business-based cooperation has the widest scope, while proximity-based cooperation exists throughout these two main models of cooperation. Second, coastal provinces and cities occupy a core position in the network, and play an important role in utilizing structural holes and bridging. Patent applicants with high centrality are mostly firms. Research institutes and universities mainly play the role of bridges. Third and lastly, there is no large number of cliques at the province and city levels. However, there is a tendency for cliques to develop at the applicant level. Hence, actions are needed to prevent the development of information barriers.

Indexed as

COVID-19ChinaCitiesHumansSocial NetworkingChinaCOVID-19patent cooperationsocial networkstructural characteristics

Identifiers

PMID36091539
PMCPMC9452781
OpenAlexW4293224821

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.