Evidence map›Paper›PMID 27867545›Full record

ArticleJournal of thoracic disease2016

An evaluation study of research efficiency of the Guangzhou institute of respiratory diseases based on malmquist index.

Jian-Feng Liao, Juan Wang, Liang Liang, Yong-Ding Wu, Mei-Juan Huang, Tian-Qiang Liu, Lin Zhou, Xin-Wang Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2016. 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
0.3field-weighted citation impact, top 28% 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, 7 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

8 authors at 1 institution in 1 country.

Jian-Feng LiaoDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China.
Juan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China.
Liang LiangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China.
Yong-Ding WuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China.
Mei-Juan HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China.
Tian-Qiang LiuResearch Department, Guangzhou Medical University, Guangzhou 510182, China.
Lin ZhouPropaganda Department, Guangzhou Medical University, Guangzhou 510182, China.
Xin-Wang WangSchool of General Medicine and Continuing Education, Guangzhou Medical University, Guangzhou 510182, China.
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to analyze the dynamic changes of the scientific research innovation efficiency of Guangzhou Institute of Respiratory Diseases (GIRD) during the year 2009-2013 to explore the reason for these changes and give some suggestions on how to improve the overall efficiency of the Institute.

methodsThe panel data used in this study were taken from 19 research teams of GIRD during 2009 to 2013. Data envelopment analysis (DEA) based on Malmquist index (MI) was used to analyze the performance of each research team in terms of productivity changes over time. Data were analyzed using DEAP 2.1 software.

resultsThe annual average increase rate of total factor productivity (TFP), technological progress, technical efficiency, pure technical efficiency, and scale efficiency was 30.4%, 22.5%, 6.4%, 0.9%, and 5.4%, respectively from 2009 to 2013. The scientific research innovation efficiency of the GIRD was generally high and kept on growing. The increase of TFP was mainly caused by the progress of tech, the descending of TFP in some teams should be mainly attributable to the declining pure technical efficiency, and scale efficiency on the whole, maintaining a stable growth at a low speed.

conclusionsTo achieve higher scientific research innovation, GIRD not only needs to further improve the management level and introduce advanced management mode, but also needs to focus on optimization of resource allocation, as well as to strengthen the talent introduction, and continue to maintain the absorption of new technologies and innovation.

Indexed as

data envelopment analysisefficiencyMalmquist index (MI)panel data

Identifiers

PMID27867545
PMCPMC5107497
OpenAlexW2542725080

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.