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China’s innovation and research contribution to combating neglected diseases: a secondary analysis of China’s public research data

Overview of attention for article published in Global Health Research and Policy, March 2023
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Title
China’s innovation and research contribution to combating neglected diseases: a secondary analysis of China’s public research data
Published in
Global Health Research and Policy, March 2023
DOI 10.1186/s41256-023-00288-0
Pubmed ID
Authors

Jiyan Ma, Lanchao Zhang, Xianzhe Li, Jiashu Shen, Yinuo Sun, Yangmu Huang

Abstract

Many emerging and developing economies, such as China, have played the important roles in combating global neglected diseases (NDs). This study aims to explore China's public landscape of research projects and funding of NDs and to provide empirical evidence on promoting China's participation in addressing global health priorities that disproportionately affect developing countries. We systematically sourced China's public funding information from the National Natural Science Foundation of China and provincial science and technology agency websites up to August 16, 2019. Following the G-FINDER R&D scope, we screened projects of NDs for analysis. National-funded projects were reviewed on an annual basis for exploring the trends and distribution of funding flows. Information on provincial-funded projects was compared with national projects by disease, research type, and geographical distribution. A total of 1266 projects were included for analysis and categorized by year, funding source, recipient, disease, research type, region, and province. China's national public funding for ND research reached a historical peak of USD 16.22 million in 2018. But the proportion of ND research to all public-funded projects was less than 0.5%, and over half of the ND projects were allocated to "the big three," i.e., tuberculosis, HIV/AIDS, and malaria. About 58% of national and provincial ND projects focus on basic research. Economically developed regions and municipalities play dominant roles in leading national ND research, such as Beijing, Shanghai, and Guangdong. Provincial ND projects are primarily driven by endemic regions. As a new emerging high-tech innovator, China has gradually increased public input to ND-related innovation and research. But there is still a large funding gap among NDs that requires China's increased support and participation. National development plans and cooperative health needs should be taken into account for China's participation in promoting global research and development (R&D) for combating NDs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 7 70%
Readers by discipline Count As %
Arts and Humanities 1 10%
Nursing and Health Professions 1 10%
Medicine and Dentistry 1 10%
Unknown 7 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2023.
All research outputs
#18,297,746
of 23,505,669 outputs
Outputs from Global Health Research and Policy
#186
of 224 outputs
Outputs of similar age
#204,648
of 318,425 outputs
Outputs of similar age from Global Health Research and Policy
#5
of 8 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.