Partitioning highly, medium and lowly cited publications

2020 ◽  
pp. 016555152091765
Author(s):  
Yong Huang ◽  
Yi Bu ◽  
Ying Ding ◽  
Wei Lu

Dividing papers based on their numbers of citations into several groups constitutes one of the most common research practices in bibliometrics and beyond. However, existing dividing methods are both arbitrary and subject to bias. This article proposes a novel approach to partition highly, medium and lowly cited publications based on their citation distribution. We utilise the whole Web of Science (WoS) dataset to demonstrate how to apply this approach to scholarly datasets and examine the robustness of our algorithm in each of the six disciplines under the WoS dataset. The codes that underlie the algorithm are available online.

2017 ◽  
Vol 29 (3) ◽  
pp. 343-353
Author(s):  
Erwin KRAUSKOPF ◽  
Fernanda GARCIA ◽  
Robert FUNK

Abstract The purpose of this study was to investigate the association between language and total number of citations found among documents in journals written in English and other languages. We selected all the journals clustered together in the Journal Citation Reports 2014 under the subject category “Veterinary Sciences” and downloaded all the data registered between 1994-2013 by Web of Science for the journals that stated publishing documents in languages other than English. We classified each of these journals by quartile and extracted information regarding their impact factor, language(s) stated, country of origin, total number of documents published, total number of reviews published, percentage of documents published in English and the quartile in which each journal ranked. Of the 48,118 documents published by the 28 journals analyzed, 55.8% were published in English. Interestingly, although most of the journals state being multi-language, most documents published in quartile 1 journals were in English (an average of 99.2%), while the percentage was 93.1% in quartile 2 journals, 62.1% in quartile 3 journals and 27.4% in quartile 4 journals. We also confirmed that citation distribution in these journals was highly skewed. The results of this study suggest that journals should consider adopting English as the main language as this will increase citation counts and the impact factor of the journal.


2021 ◽  
Vol 109 (4) ◽  
Author(s):  
Anson Parker ◽  
Abbey Heflin ◽  
Lucy Carr Jones

As part of a larger project to understand the publishing choices of UVA Health authors and support open access publishing, a team from the Claude Moore Health Sciences Library analyzed an open data set from Europe PMC, which includes metadata from PubMed records. We used the Europe PMC REST API to search for articles published in 2017–2020 with “University of Virginia” in the author affiliation field. Subsequently, we parsed the JSON metadata in Python and used Streamlit to create a data visualization from our public GitHub repository. At present, this shows the relative proportions of open access versus subscription-only articles published by UVA Health authors. Although subscription services like Web of Science, Scopus, and Dimensions allow users to do similar analyses, we believe this is a novel approach to doing this type of bibliometric research with open data and open source tools.  


2019 ◽  
Vol 14 (4) ◽  
pp. 338-352 ◽  
Author(s):  
Noémie Aubert Bonn ◽  
Wim Pinxten

Research on research integrity has become a field of its own; yet, a comprehensive overview the field is still missing. We systematically searched SCOPUS, Web of Science, and PubMed for relevant articles published between 2005 and 2015. We extracted the topic, methodology, focus, and citations from each articles. From the 986 articles included, only 342 report empirical data. Empirical papers predominantly targeted researchers and students. Although empirical articles questioning causes for misconduct mostly blamed research systems (e.g., pressure, competition) for detrimental research practices, articles proposing approaches to foster integrity focused on researchers’ awareness and compliance rather than on system changes. Involving nonresearchers and reconnecting what is known to what is proposed may help research on research integrity move forward.


2020 ◽  
Vol 49 (5) ◽  
pp. 35-58
Author(s):  
Matthias Templ

This article is motivated by the work as editor-in-chief of the Austrian Journal of Statistics and contains detailed analyses about the impact of the Austrian Journal of Statistics. The impact of a journal is typically expressed by journal metrics indicators. One of the important ones, the journal impact factor is calculated from the Web of Science (WoS) database by Clarivate Analytics. It is known that newly established journals or journals without membership in big publishers often face difficulties to be included, e.g., in the Science Citation Index (SCI) and thus they do not receive a WoS journal impact factor, as it is the case for example, for the Austrian Journal of Statistics. In this study, a novel approach is pursued modeling and predicting the WoS impact factor of journals using open access or partly open-access databases, like Google Scholar, ResearchGate, and Scopus. I hypothesize a functional linear dependency between citation counts in these databases and the journal impact factor. These functional relationships enable the development of a model that may allow estimating the impact factor for new, small, and independent journals not listed in SCI. However, only good results could be achieved with robust linear regression and well-chosen models. In addition, this study demonstrates that the WoS impact factor of SCI listed journals can be successfully estimated without using the Web of Science database and therefore the dependency of researchers and institutions to this popular database can be minimized. These results suggest that the statistical model developed here can be well applied to predict the WoS impact factor using alternative open-access databases. 


2019 ◽  
Vol 11 (4) ◽  
pp. 468-476
Author(s):  
Angelito Calma

Purpose The purpose of this paper is to examine the impact and contribution of the Journal of Behavioral Finance (JBF). Design/methodology/approach It uses the metadata from 328 journal articles (2004–2017) extracted from Scopus and Web of Science. The data included 2,602 author-submitted keywords, 1,825 index keywords and 310 abstracts. Findings Results indicate that JBF is still a young journal with 196 academic articles cited by 372 documents. Most citations come from JBF itself and the Journal of Behavioral and Experimental Finance. Mesly and Seiler are the most published, University of Gothenberg has more contributions than any other institution while the USA, Australia and UK represent nearly half of those citations. Investment policy is the most used author keyword next to behavioural finance, while risk is the most used index keyword. The most commonly used words in abstracts are investor or investors. The implications of and for JBF are discussed. Originality/value It is a unique and novel approach to analysing almost the entire publication history of the journal by using citation analysis.


2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Kevin A Thomas ◽  
Marcella E. Barnhart

This case study describes the work of librarians at the Lippincott Library of the Wharton School at the University of Pennsylvania in developing a novel approach to supporting research through programming. Approached by researchers for assistance with a large-scale literature search that also involved text extraction, we utilized both traditional bibliographic indexes (Web of Science) and citation management tools (EndNote) and less-traditional tools like the programming language Python and a PDF extraction program (LA-PDFText) to approach different sections of the project. This article outlines that process and briefly discusses the potential for developing new services in business libraries around programmatic research support.


2019 ◽  
Vol 2 (3) ◽  
pp. 145-153
Author(s):  
Davor Jokić

Given the latest research on Dimensions classification, this article discusses the novelty of such classification in the field of textile technology from the standpoint of Croatian scientific career advancement system. New machine learning article based classification system is compared to a traditional journal based classification system brought by the Web of Science and Scopus in terms of evaluation significance. The starting point of assigned category comparison were 13 journals indexed in the Web of Science in just one common category - Materials science, Textiles. Since Scopus does not have a unique category for the textile technology a list of 11 assigned categories was put in the comparison. Lastly, 58 research fields assigned to the articles published in mentioned journals indexed in Dimensions were analyzed for validity. Results show that the unique category of Textiles in Web of Science fully fits the field of textile technology from Croatian point of view. Scopus model with multi category assignment is not so reliable and useful in field evaluation. Lastly, Dimensions with its novel approach failed to validly classify indexed publications.


2019 ◽  
Vol 476 (24) ◽  
pp. 3705-3719 ◽  
Author(s):  
Avani Vyas ◽  
Umamaheswar Duvvuri ◽  
Kirill Kiselyov

Platinum-containing drugs such as cisplatin and carboplatin are routinely used for the treatment of many solid tumors including squamous cell carcinoma of the head and neck (SCCHN). However, SCCHN resistance to platinum compounds is well documented. The resistance to platinum has been linked to the activity of divalent transporter ATP7B, which pumps platinum from the cytoplasm into lysosomes, decreasing its concentration in the cytoplasm. Several cancer models show increased expression of ATP7B; however, the reason for such an increase is not known. Here we show a strong positive correlation between mRNA levels of TMEM16A and ATP7B in human SCCHN tumors. TMEM16A overexpression and depletion in SCCHN cell lines caused parallel changes in the ATP7B mRNA levels. The ATP7B increase in TMEM16A-overexpressing cells was reversed by suppression of NADPH oxidase 2 (NOX2), by the antioxidant N-Acetyl-Cysteine (NAC) and by copper chelation using cuprizone and bathocuproine sulphonate (BCS). Pretreatment with either chelator significantly increased cisplatin's sensitivity, particularly in the context of TMEM16A overexpression. We propose that increased oxidative stress in TMEM16A-overexpressing cells liberates the chelated copper in the cytoplasm, leading to the transcriptional activation of ATP7B expression. This, in turn, decreases the efficacy of platinum compounds by promoting their vesicular sequestration. We think that such a new explanation of the mechanism of SCCHN tumors’ platinum resistance identifies novel approach to treating these tumors.


2020 ◽  
Vol 51 (3) ◽  
pp. 544-560 ◽  
Author(s):  
Kimberly A. Murphy ◽  
Emily A. Diehm

Purpose Morphological interventions promote gains in morphological knowledge and in other oral and written language skills (e.g., phonological awareness, vocabulary, reading, and spelling), yet we have a limited understanding of critical intervention features. In this clinical focus article, we describe a relatively novel approach to teaching morphology that considers its role as the key organizing principle of English orthography. We also present a clinical example of such an intervention delivered during a summer camp at a university speech and hearing clinic. Method Graduate speech-language pathology students provided a 6-week morphology-focused orthographic intervention to children in first through fourth grade ( n = 10) who demonstrated word-level reading and spelling difficulties. The intervention focused children's attention on morphological families, teaching how morphology is interrelated with phonology and etymology in English orthography. Results Comparing pre- and posttest scores, children demonstrated improvement in reading and/or spelling abilities, with the largest gains observed in spelling affixes within polymorphemic words. Children and their caregivers reacted positively to the intervention. Therefore, data from the camp offer preliminary support for teaching morphology within the context of written words, and the intervention appears to be a feasible approach for simultaneously increasing morphological knowledge, reading, and spelling. Conclusion Children with word-level reading and spelling difficulties may benefit from a morphology-focused orthographic intervention, such as the one described here. Research on the approach is warranted, and clinicians are encouraged to explore its possible effectiveness in their practice. Supplemental Material https://doi.org/10.23641/asha.12290687


ASHA Leader ◽  
2005 ◽  
Vol 10 (15) ◽  
pp. 8-27 ◽  
Author(s):  
Jennifer Horner ◽  
Michael Wheeler
Keyword(s):  

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