Curated citation data
The classification in reproducible and not reproducible models was made by Tiwari et al.
Citations were looked up in Scopus, Web of Science and Google Scholar.
The following journals had to be excluded, as Journal Impact Factors (JIF) were missing or papers were discontinued:
- Experientia was closed 1996 and continued as Cellular and Molecular Life Sciences 1997
- The American journal of physiology – split into fields 1977, further splits in 1980 and 1989
- IFAC Proceedings Volumes – last issue 2014, continued as IFAC-PapersOnLine
- Mathematical and Computer Modelling – discontinued as of 2014
- IOP Conference Series: Materials Science and Engineering – not a journal but conference proceedings – no impact factor listed
- Infectious Disease Modelling – no impact factor found
- Jurnal Teknologi – no impact factor found
- JCO clinical cancer informatics – no impact factor found
- Quantitative biology (Beijing, China) – no impact factor found
- Letters in Biomathematics – no impact factor found
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference – no impact factor found
- Haemostasis – discontinued; no impact factor found
It was tried to include as many papers as possible.
As the JIF is calculated every year, an average JIF of the Journal Citation Reports from 2014 to 2021 was calculated and used for the analysis. The results do not differ qualitatively if only the JIF of 2021 was used. As the Journal Impact Factor reports belong to Clarivate the JCR data was not uploaded to the repository.
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Citation data.zip
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Views: 1164 Downloads: 39
Created: 29th Sep 2022 at 13:23
Last updated: 11th Jan 2023 at 16:08
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Version 2 (latest) Created 11th Jan 2023 at 16:08 by Sebastian Höpfl
The JIF of 2021 was replaced by an average JIF of the years 2014-2021.
Version 1 (earliest) Created 29th Sep 2022 at 13:23 by Sebastian Höpfl
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Projects: Working Group Nicole Radde, SteaPKMod
Institutions: University of Stuttgart
https://orcid.org/0000-0002-5300-0915
Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.
The German Network for Bioinformatics Infrastructure - de.NBI offers first class bioinformatics services including training and education to users in basic and applied life sciences research. In this network 40 projects belonging to eight service centers provide services that cover a wide variety of methods (genomics, proteomics, ...) and applications (from plants to humans). de.NBI-SysBio is the Systems Biology Service Center of de.NBI. In collaboration with FAIRDOM, de.NBI-SysBio serves the ...
Projects: de.NBI-SysBio, ExtremoPharm, ZucAt, Kinetics on the move - Workshop 2016, Example use cases, MIX-UP, Working Group Nicole Radde, MPIEvolBio-SciComp, SABIO-VIS
Web page: http://www.denbi.de
The group around Nicole Radde specializes in the modeling, analysis, and simulation of biochemical systems. This especially includes parameter optimization and identification.
Programme: de.NBI Systems Biology Service Center (de.NBI-SysBio)
Public web page: https://www.ist.uni-stuttgart.de/research/group-of-nicole-radde/
Start date: 11th Feb 2020
This study investigates the citations of reproducible vs. not reproducible papers and is based on 328 published models, classified by Tiwari et al. based on their reproducibility are analyzed in this study. Hypothese testing is performed using a flexible Bayesian approach for a complete assessment of posteriors. The approach handels outliers via a non-central t distribution. Results show that reproducible papers are significantly more citet between 2013 and 2020, i.e. 10 years after the introduction ...
Submitter: Sebastian Höpfl
Investigation: 1 hidden item
Assays: Statistical analysis and BEST method of Kruschke for python applied on c...
The statistical analysis was performed in a jupyter notebook. This notebook contains the commands for all performed analyses (Statistical_analysis_of_FAIR_citations.ipynb)
The Bayesian Estimation Superseeds the t Test (BEST) method of Kruschke 2013 was used for the Bayesian significance testing. The method was implemented in a python class together with visualization and distributional analysis methods (BEST_method_python_Kruschke2012.py). Also the bayesian multiple comparison analysis can be ...
Submitter: Sebastian Höpfl
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
