Now showing items 1-20 of 670

    • Gender differences in research areas, methods and topics: Can people and thing orientations explain the results?

      Thelwall, Mike; Bailey, Carol; Tobin, Catherine; Bradshaw, Noel-Ann (Elsevier, 2019-12-31)
      Although the gender gap in academia has narrowed, females are underrepresented within some fields in the USA. Prior research suggests that the imbalances between science, technology, engineering and mathematics fields may be partly due to greater male interest in things and greater female interest in people, or to off-putting masculine cultures in some disciplines. To seek more detailed insights across all subjects, this article compares practising US male and female researchers between and within 285 narrow Scopus fields inside 26 broad fields from their first-authored articles published in 2017. The comparison is based on publishing fields and the words used in article titles, abstracts, and keywords. The results cannot be fully explained by the people/thing dimensions. Exceptions include greater female interest in veterinary science and cell biology and greater male interest in abstraction, patients, and power/control fields, such as politics and law. These may be due to other factors, such as the ability of a career to provide status or social impact or the availability of alternative careers. As a possible side effect of the partial people/thing relationship, females are more likely to use exploratory and qualitative methods and males are more likely to use quantitative methods. The results suggest that the necessary steps of eliminating explicit and implicit gender bias in academia are insufficient and might be complemented by measures to make fields more attractive to minority genders.
    • Towards identifying potent new hits for glioblastoma

      Sherer, Chris; Prabhu, Saurabh; Adams, David; Hayes, Joseph; Rowther, Farzana; Tolaymat, Ibrahim; Warr, Tracy; Snape, Timothy J. (Royal Society of Chemistry, 2018-10-02)
      Glioblastoma is a devastating disease of the brain and is the most common malignant primary brain tumour in adults. The prognosis for patients is very poor with median time of survival after diagnosis measured in months, due in part to the tumours being highly aggressive and often resistant to chemotherapies. Alongside the ongoing research to identify key factors involved in tumour progression in glioblastoma, medicinal chemistry approaches must also be used in order to rapidly establish new and better treatments for brain tumour patients. Using a computational similarity search of the ZINC database, alongside traditional analogue design by medicinal chemistry intuition to improve the breadth of chemical space under consideration, six new hit compounds (14, 16, 18, 19, 20 and 22) were identified possessing low micromolar activity against both established cell lines (U87MG and U251MG) and patient-derived cell cultures (IN1472, IN1528 and IN1760). Each of these scaffolds provides a new platform for future development of a new therapy in this area, with particular promise shown against glioblastoma subtypes that are resistant to conventional chemotherapeutic agents.
    • She’s Reddit: A source of statistically significant gendered interest information

      Thelwall, Mike; Stuart, Emma (Elsevier, 2018-12-31)
      Information about gender differences in interests is necessary to disentangle the effects of discrimination and choice when gender inequalities occur, such as in employment. This article assesses gender differences in interests within the popular social news and entertainment site Reddit. A method to detect terms that are statistically significantly used more by males or females in 181 million comments in 100 subreddits shows that gender affects both the selection of subreddits and activities within most of them. The method avoids the hidden gender biases of topic modelling for this task. Although the method reveals statistically significant gender differences in interests for topics that are extensively discussed on Reddit, it cannot give definitive causes, and imitation and sharing within the site mean that additional checking is needed to verify the results. Nevertheless, with care, Reddit can serve as a useful source of insights into gender differences in interests.
    • Genomic and transcriptomic characterisation of undifferentiated pleomorphic sarcoma of bone

      Ali, Naser M.; Niada, Stefania; Brini, Anna T.; Morris, Mark R.; Kurusamy, Sathishkumar; Alholle, Abdullah; Huen, David; Antonescu, Cristina R.; Tirode, Franck; Sumathi, Vaiyapuri; Latif, Farida (Wiley, 2018-10-03)
      Undifferentiated pleomorphic sarcoma of bone (UPSb), is a rare primary bone sarcoma that lacks a specific line of differentiation. There is very little information about the genetic alterations leading to tumourigenesis or malignant transformation. Distinguishing between UPSb and other malignant bone sarcomas, including dedifferentiated chondrosarcoma and osteosarcoma, can be challenging due to overlapping features. To explore the genomic and transcriptomic landscape of UPSb tumours, whole-exome sequencing (WES) and RNA Sequencing (RNA-Seq) were performed on UPSb tumours. All tumours lacked hotspot mutations in IDH1/2 132 or 172 codons, thereby excluding the diagnosis of dedifferentiated chondrosarcoma. Recurrent somatic mutations in TP53 were identified in 4/14 samples (29%). Moreover, recurrent mutations in histone chromatin remodelling genes, including H3F3A, ATRX and DOT1L, were identified in 5/14 samples (36%), highlighting the potential role of deregulated chromatin remodelling pathways in UPSb tumourigenesis. The majority of recurrent mutations in chromatin remodelling genes identified here are reported in COSMIC, including the H3F3A G35 and K36 hotspot residues. Copy number alteration analysis identified gains and losses in genes that have been previously altered in UPSb or UPS of soft tissue. Eight somatic gene fusions were identified by RNA-Seq, two of which, CLTC-VMP1 and FARP1-STK24, were reported previously in multiple cancers. Five gene fusions were genomically characterised. Hierarchical clustering analysis, using RNA-Seq data, distinctly clustered UPSb tumours from osteosarcoma and other sarcomas, thus molecularly distinguishing UPSb from other sarcomas. RNA-Seq expression profiling analysis and quantitative RT-PCR showed an elevated expression in FGF23 which can be a potential molecular biomarker in UPSb. To our knowledge, this study represents the first comprehensive WES and RNA-Seq analysis of UPSb tumours revealing novel protein-coding recurrent gene mutations, gene fusions and identifying a potential UPSb molecular biomarker, thereby broadening the understanding of the pathogenic mechanisms and highlighting the possibility of developing novel targeted therapeutics.
    • Empowering the Student Voice through Mentoring: How to Develop a Student Mentoring Scheme

      Bates, Mathew; Cureton, Debra (University of Wolverhampton, 2008)
    • Psychological Well-being

      Morris, Neil; Cureton, Debra (Holistic Health, 2004-02-01)
    • Student Mentoring

      Cureton, Debra; Cross, V.; Green, P.; Cadd, J. (University of Wolverhampton, 2008-05-01)
    • Sign language interpreter aptitude: The trials and tribulations of a longitudinal study

      Stone, Christopher (2017-01-01)
      This paper discusses the process of undertaking an exploratory longitudinal study of language learning and interpreter aptitude. It discusses the context of aptitude testing, the test selection for a test battery, the recruitment of subjects within the small-scale study (n=22) and the administration of that battery within the context of whether longitudinal studies are feasible with small cohorts of sign language interpreters. Sign languages continue to be languages of limited diffusion in Europe. Even with gradually increasing numbers of ‘hearing’ sign language users, typically those wishing to become sign language interpreters do not have high levels of sign language fluency prior to enrolling in sign language interpreter training. As such, these students need to gain fluency in sign language, whilst also beginning to engage in interpreter education and interpreting-skills development. To date there is little understanding of how best to screen sign language interpreter program applicants to ensure the effective use of resources, i.e. to educate those who will both learn sign language to C1 fluency (Pro-signs, 2016) during the BA and also be able to learn how to interpret. Longitudinal studies enable us to take a longer view of learning and the professionalisation of skills and knowledge. They do, however, require significant time and this in itself can prove to be an obstacle when university researchers are required to produce tangible research outputs for career goals such as promotion or tenure.
    • Do gendered citation advantages influence field participation? Four unusual fields in the USA 1996-2017

      Thelwall, Mike (Springer, 2018-09-29)
      Gender inequalities in science are an ongoing concern, but their current causes are not well understood. This article investigates four fields with unusual proportions of female researchers in the USA for their subject matter, according to some current theories. It assesses how their gender composition and gender differences in citation rates have changed over time. All fields increased their share of female first-authored research, but at varying rates. The results give no evidence of the importance of citations, despite their unusual gender characteristics. For example, the field with the highest share of female-authored research and the most rapid increase had the largest male citation advantage. Differing micro-specialisms seems more likely than bias to be a cause of gender differences in citation rates, when present.
    • Do prestigious Spanish scholarly book publishers have more teaching impact?

      Mas-Bleda, Amalia; Thelwall, Mike (Emerald Publishing Limited, 2018-10-10)
      Purpose The purpose of this paper is to assess the educational value of prestigious and productive Spanish scholarly publishers based on mentions of their books in online scholarly syllabi. Design/methodology/approach Syllabus mentions of 15,117 books from 27 publishers were searched for, manually checked and compared with Microsoft Academic (MA) citations. Findings Most books published by Ariel, Síntesis, Tecnos and Cátedra have been mentioned in at least one online syllabus, indicating that their books have consistently high educational value. In contrast, few books published by the most productive publishers were mentioned in online syllabi. Prestigious publishers have both the highest educational impact based on syllabus mentions and the highest research impact based on MA citations. Research limitations/implications The results might be different for other publishers. The online syllabus mentions found may be a small fraction of the syllabus mentions of the sampled books. Practical implications Authors of Spanish-language social sciences and humanities books should consider general prestige when selecting a publisher if they want educational uptake for their work. Originality/value This is the first study assessing book publishers based on syllabus mentions.
    • Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories

      Martín-Martín, Alberto; Orduna-Malea, Enrique; Thelwall, Mike; Delgado López-Cózar, Emilio (Elsevier, 2018-10-05)
      Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%–96%), far ahead of Scopus (35%–77%) and WoS (27%–73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%–65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%–38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage.
    • A flexible framework for collocation retrieval and translation from parallel and comparable corpora

      Rivera, Oscar Mendoza; Mitkov, Ruslan; Corpas Pastor, Gloria (John Benjamins, 2018)
      This paper outlines a methodology and a system for collocation retrieval and translation from parallel and comparable corpora. The methodology was developed with translators and language learners in mind. It is based on a phraseology framework, applies statistical techniques, and employs source tools and online resources. The collocation retrieval and translation has proved successful for English and Spanish and can be easily adapted to other languages. The evaluation results are promising and future goals are proposed. Furthermore, conclusions are drawn on the nature of comparable corpora and how they can be better exploited to suit particular needs of target users.
    • Dissecting tweets in search of irony

      Rohanian, Omid; Taslimipoor, Shiva; Evans, Richard; Mitkov, Ruslan (Association for Computational Linguistics, 2018-06-05)
      This paper describes the systems submitted to SemEval 2018 Task 3 “Irony detection in English tweets” for both subtasks A and B. The first system leveraging a combination of sentiment, distributional semantic, and text surface features is ranked third among 44 teams according to the official leaderboard of the subtask A. The second system with slightly different representation of the features ranked ninth in subtask B. We present a method that entails decomposing tweets into separate parts. Searching for contrast within the constituents of a tweet is an integral part of our system. We embrace an extensive definition of contrast which leads to a vast coverage in detecting ironic content.
    • Does female-authored research have more educational impact than male-authored research?

      Thelwall, Mike (Levy Library Press, 2018-10-04)
      Female academics are more likely to be in teaching-related roles in some countries, including the USA. As a side effect of this, female-authored journal articles may tend to be more useful for students. This study assesses this hypothesis by investigating whether female first-authored research has more uptake in education than male first-authored research. Based on an analysis of Mendeley readers of articles from 2014 in five countries and 100 narrow Scopus subject categories, the results show that female-authored articles attract more student readers than male-authored articles in Spain, Turkey, the UK and USA but not India. They also attract fewer professorial readers in Spain, the UK and the USA, but not India and Turkey, and tend to be less popular with senior academics. Because the results are based on analysis of differences within narrow fields they cannot be accounted for by females working in more education-related disciplines. The apparent additional educational impact for female-authored research could be due to selecting more accessible micro-specialisms, however, such as health-related instruments within the instrumentation narrow field. Whatever the cause, the results suggest that citation-based research evaluations may undervalue the wider impact of female researchers.
    • Semantic discrimination based on knowledge and association

      Taslimipoor, Shiva; Rohanian, Omid; Ha, Le An; Corpas Pastor, Gloria; Mitkov, Ruslan (Association for Computational Linguistics, 2018-06)
      This paper describes the system submitted to SemEval 2018 shared task 10 ‘Capturing Discriminative Attributes’. We use a combination of knowledge-based and co-occurrence features to capture the semantic difference between two words in relation to an attribute. We define scores based on association measures, ngram counts, word similarity, and ConceptNet relations. The system is ranked 4th (joint) on the official leaderboard of the task.
    • Identifying Signs of Syntactic Complexity for Rule-Based Sentence Simplification

      Evans, Richard; Orasan, Constantin (Cambridge University Press, 2018)
    • Can museums find male or female audiences online with YouTube?

      Thelwall, Michael (Emerald, 2018)
      Purpose: This article investigates if and why audience gender ratios vary between museum YouTube channels, including for museums of the same type. Design/methodology/approach: Gender ratios were examined for public comments on YouTube videos from 50 popular museums in English-speaking nations. Terms that were more frequently used by males or females in comments were also examined for gender differences. Findings: The ratio of female to male YouTube commenters varies almost a hundredfold between museums. Some of the difference could be explained by gendered interests in museum themes (e.g., military, art) but others were due to the topics chosen for online content and could address a gender minority audience. Practical implications: Museums can attract new audiences online with YouTube videos that target outside their expected demographics. Originality/value: This is the first analysis of YouTube audience gender for museums.
    • Aggressive language identification using word embeddings and sentiment features

      Orasan, Constantin (Association for Computational Linguistics, 2018-06-25)
      This paper describes our participation in the First Shared Task on Aggression Identification. The method proposed relies on machine learning to identify social media texts which contain aggression. The main features employed by our method are information extracted from word embeddings and the output of a sentiment analyser. Several machine learning methods and different combinations of features were tried. The official submissions used Support Vector Machines and Random Forests. The official evaluation showed that for texts similar to the ones in the training dataset Random Forests work best, whilst for texts which are different SVMs are a better choice. The evaluation also showed that despite its simplicity the method performs well when compared with more elaborated methods.
    • Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries

      Thelwall, Mike (Elsevier, 2018-09-01)
      There are known gender imbalances in participation in scientific fields, from female dominance of nursing to male dominance of mathematics. It is not clear whether there is also a citation imbalance, with some claiming that male-authored research tends to be more cited. No previous study has assessed gender differences in the readers of academic research on a large scale, however. In response, this article assesses whether there are gender differences in the average citations and/or Mendeley readers of academic publications. Field normalised logged Scopus citations and Mendeley readers from mid-2018 for articles published in 2014 were investigated for articles with first authors from India, Spain, Turkey, the UK and the USA in up to 251 fields with at least 50 male and female authors. Although female-authored research is less cited in Turkey (−4.0%) and India (−3.6%), it is marginally more cited in Spain (0.4%), the UK (0.4%), and the USA (0.2%). Female-authored research has fewer Mendeley readers in India (−1.1%) but more in Spain (1.4%), Turkey (1.1%), the UK (2.7%) and the USA (3.0%). Thus, whilst there may be little practical gender difference in citation impact in countries with mature science systems, the higher female readership impact suggests a wider audience for female-authored research. The results also show that the conclusions from a gender analysis depend on the field normalisation method. A theoretically informed decision must therefore be made about which normalisation to use. The results also suggest that arithmetic mean-based field normalisation is favourable to males.