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Methods and Practices for Institutional Benchmarking based on Research Impact and Competitiveness: A Case Study of ShanghaiTech University

Jiang Chang
Jiang Chang
 oraz 
Jianhua Liu
Jianhua Liu
   | 30 sie 2019
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Article Category: Research Paper
Data publikacji: 30 sie 2019
Zakres stron: 55 - 72
Otrzymano: 24 maj 2019
Przyjęty: 06 sie 2019
DOI: https://doi.org/10.2478/jdis-2019-0015
Słowa kluczowe
© 2019 Jiang Chang, Jianhua Liu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Flow diagram of assessment process.
Flow diagram of assessment process.

Figure 2

Maps of keywords of molecular biology & genetics of Univ E (left) and ShanghaiTech (right); mapped parameter: co-occurrence; unit of analysis: all keywords; threshold of (a) = 10, threshold of (b) = 2, full counting.
Maps of keywords of molecular biology & genetics of Univ E (left) and ShanghaiTech (right); mapped parameter: co-occurrence; unit of analysis: all keywords; threshold of (a) = 10, threshold of (b) = 2, full counting.

Figure 3

Map of PI’s research productivity and competitiveness of ShanghaiTech.
Map of PI’s research productivity and competitiveness of ShanghaiTech.

Overall difference of research performance between ShanghaiTech and benchmarking institutions.

RegionInstitutionPublication% documents in Q1 journals% highly cited papers% hot papers% international collaborationh-indexcitation impactCNCI
Inter-Univ A19,50863.50%3.60%0.20%69.30%16014.72.03
nationalUniv B6,89865.00%4.90%0.50%50.60%11616.92.41
Univ C19,03464.80%5.40%0.40%51.50%19017.82.47
Univ D19,83462.50%3.60%0.30%68.60%15613.92.01
Univ E22,01366.00%5.70%0.50%55.90%19817.92.54
Univ F35,24964.80%4.70%0.40%55.60%22117.42.39
Univ G14,25263.30%2.80%0.20%66.40%11212.51.82
Univ H16,88565.30%4.40%0.30%52.90%16517.12.15
DomesticUniv I31,67350.40%2.40%0.10%32.70%1398.91.45
Univ J20,27852.00%2.30%0.20%33.00%1289.91.42
Univ K27,69945.90%1.40%0.10%31.70%1087.21.19
Univ L15,92748.50%1.60%0.00%31.30%1029.01.24
Univ M19,12352.10%2.60%0.10%30.10%1219.71.43
Univ N32,95847.60%1.60%0.10%18.30%1237.31.21
Univ O2,07453.10%2.30%0.10%41.50%487.61.6
SHTech-A1,55555.00%3.80%0.10%41.00%489.01.75
SHTech-B66052.00%3.00%0.00%37.30%275.61.58
SHTech-C22550.70%5.30%0.00%46.70%216.21.9

The most frequent keywords of Molecular Biology & Genetics of benchmarking institutions and year of first appearance in ShanghaiTech’s papers.

Frequent Keywords20142015201620172018
1alzheimer disease√
2cancer cells√
3cell cycle√
4cell lung cancer√
5cell proliferation√
6colorectal-cancer√
7crystal structures√
8dna methylation√
9embryonic stem-cells√
10epithelial-mesenchymal transition√
11escherichia coli√
12gene expression√
13human genome√
14inflammation√
15lung cancer√
16mammalian-cells√
17mesenchymal stem cells√
18molecular mechanism√
19mouse model√
20nf-kappa-b√
21oxidative stress√
22pluripotent stem-cells√
23progenitor cells√
24saccharomyces-cerevisiae√
25signaling pathway√
26skeletal muscle√
27stem cell√
28susceptibility loci√
29tumor growth√
30tumor suppression√

Disciplinary difference (Molecular Biology & Genetics) of research performance between ShanghaiTech and benchmarking institutions

RegionInstitution% total publication% documents in Q1 journals% Highly cited papers% Hot papersInternational % H-CollaborationindexCitation ImpactCNCI
Inter-nationalUniv A12.44%70.90%3.70%0.41%74.20%9023.52.5
Univ B5.55%72.85%7.00%0.78%38.90%552.7529.1
Univ C14.88%69.98%5.30%0.35%51.70%11125.72.71
Univ D13.77%70.90%4.80%0.33%73.40%10423.32.52
Univ E12.97%76.91%10.40%0.54%57.80%14840.74.14
Univ F22.79%72.08%5.80%0.29%59.00%17828.22.81
Univ G6.41%68.13%2.60%0.11%75.00%5817.91.98
Univ H8.92%69.39%4.90%0.00%47.10%8829.22.55
Median12.70%70.90%5.10%0.34%58.40%97272.63
DomesticUniv I2.83%61.61%2.70%0.00%58.40%5315.91.84
Univ J8.38%55.39%1.20%0.00%46.40%5612.61.35
Univ K10.68%50.51%0.70%0.03%37.10%579.41.1
Univ L14.93%53.26%0.50%0.04%30.40%559.21.08
Univ M1.82%54.60%1.10%0.00%32.90%3114.61.33
Univ N4.91%55.69%1.50%0.00%37.10%519.21.21
Univ O3.66%57.89%0.00%0.00%33.50%115.61.12
Median4.91%55.39%1.10%0.00%37.10%539.41.21
Total Median8.92%68.13%2.70%0.04%47.10%5717.91.98
SHTech-A14.92%71.55%2.20%0.00%72.40%239.41.64
SHTech-B15.15%71.00%3.00%0.00%49.10%157.91.68
SHTech-C10.00%63.63%10.00%0.00%45.00%710.62.6

Establishment of analytic dimensions and indicators for institutional benchmarking.

DimensionCategoryIndicatorDescriptionData Source
Research OutputPublication countsNumber of publicationsTotal publication of research papersInCites, Scival
Research ImpactCounts of high quality% Papers in Q1 journalsPercentage of publications in Q1 journals of JIF QuartileInCites
publication% Highly cited publicationsPercentage of papers ranked in the top 1% by citations in a period of timeInCites, Scival
% Hot publicationsPercentage of papers ranked in the top 1‰ by citations in a period of time (article and review)ESI
% Publications on CNSPercentage of papers published in Cell, Nature and ScienceWoS, Scopus
Impact of citationTimes cited H-indexNumber of citation of total publication H-index of the set of publicationsInCites, Scival WoS
Citation impactAverage (mean) number of citations per yearInCites, Scival
Normalized citation impactCitation impact that normalized for subject, year and document typeInCites, Scival
Research Topics (content analysis)Knowledge mapsContent analysis based on research topicsComparison of structure of maps constructed based on keywords pairing (reflect research topics) between Inst. S and benchmarking institutionsWoS, Scopus
Contribution to research FrontPublications as core papers in research fronts, and publishing year comparisonNumber of publications as core papers in research fronts, and the comparison between publishing year of these contributed papers and average publishing year of the total core papers in each research frontESI
Research ConnectionCollaborationMain collaborators and research areasTop collaborators with the most collaborative papers (contain co-authors), and the most collaborative research areas with each collaboratorWoS, Scopus

Number of papers of each institution as core papers in the research front.

No later than average publicationEarlier than average publication
Papers in Research Frontyearyear
PapersPercentagePapersPercentage
Univ A38218047.12%4210.99%
Univ B2218538.46%156.79%
Univ C57031955.96%7713.51%
Univ D39919248.12%4010.03%
Univ E71336451.05%659.12%
Univ F92147051.03%869.34%
Univ G26012347.31%228.46%
Univ H43623453.67%5312.16%
Univ I43422150.92%4710.83%
Univ J27514853.82%238.36%
Univ K21310448.83%219.86%
Univ L1346145.52%107.46%
Univ M25614255.47%2610.16%
Univ N27213148.16%279.93%
Univ O27622.22%00.00%
SHTech-A321340.63%00.00%
eISSN:
2543-683X
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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