Collective credit allocation in science

Shen, Huawei; Barabási, Albert‐László

doi:10.1073/pnas.1401992111

Cited by 175 publications

(120 citation statements)

References 57 publications

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“…We must consider variables such as authorship criteria, design, implementation and development, considering the contribution of each author to the final output (Allen, Brand, Scott, Altman, & Hlava, 2014;Shen & Barabasi, 2014). On the other hand, contexts such as participating institutions, area of expertise, and countries of the principal authors influence the impact of products as well (Guerrero Bote et al, 2013).…”

mentioning

confidence: 99%

Psychological Research Collaboration and Visibility in Iberoamerica

López‐López¹,

Anegón²,

Acevedo-Triana³

et al. 2015

Psicol. Reflex. Crit.

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The phenomenon of collaboration is an increasing trend in many fields of science, including that of psychology. In Iberoamerican psychology, collaboration occurs on a local and international level. The aim of the study was to evaluate the levels of collaboration in Iberoamerica, using as a baseline the level of worldwide collaboration in psychology in 2012. We collected data from the Scopus database and analyzed it by cluster distribution. Analysis of the sample found within-country collaboration prominent among Iberoamerican psychologists. Findings indicated that in Iberoamerica there is significantly less global collaboration than in other regions, although Iberoamerican scientists are receptive to the idea and acknowledge its potential. Keywords: Scientific production, psychology, collaboration, Iberoamerica Resumo O fenômeno da colaboração é uma tendência em crescimento em muitos campos da ciência, incluindo a psicologia. Na psicologia ibero-americana a colaboração vem ocorrendo em nível regional e internacional. O objetivo deste estudo foi avaliar níveis de colaboração em Ibero-América, usando como linha de base o nível de colaboração mundial em psicologia nos anos de 2012. Os dados foram coletados da base Scopus e analisado pela distribuição de dados segundo seu grau de agrupamento (cluster). A análise mostrou que a colaboração entre ibero-americanos é maior dentro dos respectivos países e menor em nível global. Mesmo assim, destaque-se que cientistas ibero-americanos são receptivos a ideia de internacionalização e reconheçam seu potencial.

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confidence: 99%

Psychological Research Collaboration and Visibility in Iberoamerica

López‐López¹,

Anegón²,

Acevedo-Triana³

et al. 2015

Psicol. Reflex. Crit.

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“…The need for diverse research approaches and transdisciplinary teams to address complex problems is increasingly recognized (39). However, a greater emphasis on "team science" will require a radical reconsideration of how scientists are organized, supported, and rewarded (40)(41)(42).…”

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confidence: 99%

Competitive Science: Is Competition Ruining Science?

Fang

Casadevall

2015

Infect Immun

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Science has always been a competitive undertaking. Despite recognition of the benefits of cooperation and team science, reduced availability of funding and jobs has made science more competitive than ever. Here we consider the benefits of competition in providing incentives to scientists and the adverse effects of competition on resource sharing, research integrity, and creativity. The history of science shows that transformative discoveries often occur in the absence of competition, which only emerges once fields are established and goals are defined. Measures to encourage collaboration and ameliorate competition in the scientific enterprise are discussed.Science would be ruined if (like sports) it were to put competition above everything else.-Benoit Mandelbrot (1)

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“…Then calculate a credit sharing matrix A, whose element a Ii,h denotes the credit amount of I i institute from the h-th paper in D j . Assuming that I i is at the r-th position in the h-th paper with k institutes, iii) m Ii,j , the credit of institute I i is obtained from paper p j [29]:…”

Section: Credit Allocation Methods (Cam)mentioning

confidence: 99%

Credit allocation for research institutes

Wang

Guo

Yang

et al. 2017

EPL

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PACS 89.75.Fb -Structures and organization in complex systems PACS 05.10.-a -Computational methods in statistical physics and nonlinear dynamics PACS 02.20.-a -Group theory Abstract -It is a challenging work to assess research performance of multiple institutes. Considering that it is unfair to average the credit to the institutes which is in the different order from a paper, in this paper, we present a credit allocation method (CAM) with a weighted order coefficient for multiple institutes. The results for the APS dataset with 18987 institutes show that top-ranked institutes obtained by the CAM method correspond to well-known universities or research labs with high reputation in physics. Moreover, we evaluate the performance of the CAM method when citation links are added or rewired randomly quantified by the Kendall's Tau and Jaccard index. The experimental results indicate that the CAM method has better performance in robustness compared with the total number of citations (T C) method and Shen's method. Finally, we give the first 20 Chinese universities in physics obtained by the CAM method. However, this method is valid for any other branch of sciences, not just for physics. The proposed method also provides universities and policy makers an effective tool to quantify and balance the academic performance of university.

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Collective credit allocation in science

Cited by 175 publications

References 57 publications

Psychological Research Collaboration and Visibility in Iberoamerica

Psychological Research Collaboration and Visibility in Iberoamerica

Competitive Science: Is Competition Ruining Science?

Credit allocation for research institutes

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