Die GDCh und ihre Partner im Scientific Publishing

2021 ◽  
Vol 69 (12) ◽  
pp. 95-95
Nature ◽  
2020 ◽  
Vol 582 (7811) ◽  
pp. 167-168 ◽  
Author(s):  
Ewen Callaway

2019 ◽  
Author(s):  
Milind Watve

Peer reviewed scientific publishing is critical for communicating important findings, interpretations and theories in any branch of science. While the value of peer review is rarely doubted, much concern is being raised about the possible biases in the process. I argue here that most of the biases originate in the evolved innate tendency of every player to optimize one’s own cost benefits. Different players in the scientific publishing game have different cost-benefit optima. There are multiple conflicts between individual optima and collective goals. An analysis of the cost-benefit optima of every player in the scientific publishing game shows how and why biases originate. In the current system of publishing, by optimization considerations, the probability of publishing a ‘bad’ manuscript is relatively small but the probability of rejecting a ‘good’ manuscript is very high. By continuing with the current publishing structure, the global distribution of the scientific community would be increasingly clustered. Publication biases by gender, ethnicity, reputation, conformation and conformity will be increasingly common and revolutionary concepts increasingly difficult to publish. Ultimately, I explore the possibility of designing a peer review publishing system in which the conflicts between individual optimization and collective goal can be minimized. In such a system, if everyone behaves with maximum selfishness, biases would be minimized and the progress towards the collective goal would be faster and smoother. Changing towards such a system might prove difficult unless a critical mass of authors take an active role to revolutionize scientific publishing.


2010 ◽  
Author(s):  
Hans E Roosendaal ◽  
Kasia Zalewska-Kurek ◽  
Peter A.Th.M Geurts

Author(s):  
G. Elaiyaraja

The article entitled “Improved Level Set Segmentation Algorithm Based on Kernel Fuzzy Particles Swarm Optimization (KFPSO) Clustering for MRI Images”, by G. Elaiyaraja, P. Epsiba, N. Kumaratharan and G. Suresh, has been retracted. Kindly see Bentham Science Policy on Article retraction at the link given below: (https://www.benthamscience.com/journals/current-medical-imaging/author-guidelines/). This article has been retracted on the request of the Editor. The authors have plagiarized a paper that had already been published in the journal Current Medical Imaging (CMIM) (Formerly: Current Medical Imaging Reviews) 14(3), Page: 389-400. http://www.eurekaselect.com/149444. It is a pre-requisite for authors to declare explicitly that their work is original and has not been published elsewhere. Authors are advised to properly cite the original source to avoid plagiarism and copyright violation. As such this article represents a severe abuse of the scientific publishing system. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.


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