Characteristics of Mendeley Readership for Earth and Planetary Science Articles

The scientific community considers readership analysis of academic artifacts to be a significant endeavor. The reference manager’s readership count is a momentous indication for early research evaluation. In response, this study demonstrates the characteristics of Mendeley readership for EPS articles from twelve narrow disciplines and compares them with citations. The bibliographic and citation data have been collected from Scopus and the corresponding readers’ data from Mendeley. The Spearman correlation was performed among citations and readers for all unique articles for all investigated disciplines. Further, we also looked at the relationships between articles with non-zero readers, as well as articles satisfied by percentile ranking of the top 75 per cent, 50 per cent, and 25 per cen treaders. The result indicates large correlations among citations and readers (avg. 0.669) for all investigated disciplines. If we analysed only non-zero readers, as well as a percentile ranking of articles, the correlation results show a decreasing trend. Around 98.57 per cent of articles have at least one reader in Mendeley and AS (97.53 %) discipline has registered the highest one. The CES discipline had registered the largest MRS of 32.25 and MCS of 12.75. Most of the readers come from post-doctoral students and Ph.D. students. The correlation results indicate that the readership statistics should be used as an impact indicator for EPS discipline.

Cover versions as an impact indicator in popular music: A quantitative network analysis

In contemporary popular music, covering or adapting previous songs signals a tribute or reworking of popular hits, which implies acknowledgement of the original musicians. This connection can be interpreted as a form of musical impact among artists. A network graph with more than 106k artists and 855k cover versions extracted from the web site SecondHandSongs was created. The objective is to explore the shape of this network, identify the most relevant artists according to different impact measurements and to visualize connections between music genres. This analysis is done from a longitudinal perspective with the aim of understanding how cover versions can inform us about the history of the contemporary popular music. Results show that the number of covers by artist is skewed distributed, diminishing gradually since the 1950s. Different network metrics have allowed to identify the most covered (weighted indegree), the most influential (PageRank) and the most crossover artists (weighted betweenness centrality). The network graph also shows that genre affinity is the main criterion for covering songs between artists, language being the second. Remakes from other genres reflect that Jazz and Pop/Rock are the most influential because they emerge stronger and form the core of their respective sub-networks. Cover songs describe two cycles. In a first phase from 1900s to 1950s, dominated by Jazz and Vocal artists, the covers are more frequent and associated with the notion of reworking (e.g. jazz standards); in a second stage, since the 1950s, when the Pop/Rock emerges, cover songs are less common and seen as tribute.

Development of Removable Visual Impact Indicator or Polymer Composite Materials

The prototype of removable visual impact indicator for thermoset polymer composite materials is developed, and its characteristics are experimentally determined. The indicator is a fabric tape glued by epoxy to the surface of the polymer composite. The tape is impregnated with a composition that provides a visual response at the place of an impact on the composite surface. Ball-drop tests demonstrated the increase of the magnitude of the visual response with the impact energy at different substrate hardnesses. The shelf-life and mode of the tape storage until commissioning are determined. Peel tests showed the ability to remove a used indicator without damaging the surface of the composite.

Can Healthy and Sustainable Dietary Patterns That Fit within Current Dutch Food Habits Be Identified?

This study investigated major healthy and sustainable dietary patterns in the Dutch population. Two 24-hour dietary recalls were collected in 2078 participants aged 19–79 years in the Dutch National Food Consumption Survey 2012–2016. Dietary patterns were identified using reduced rank regression. Predictor variables were food groups and response variables were Dutch Healthy Diet index 2015 (DHD15-index) score, greenhouse gas emissions (GHGE), and blue water use. Three patterns were discovered, including a “high fruit and vegetable dietary pattern”, a “low meat dietary pattern”, and a “high dairy, low fruit juices dietary pattern”. Diets in the highest quartile of these patterns had higher DHD15-index score than the average population. However, diets of the “high fruit and vegetable dietary pattern” were associated with higher dietary GHGE (14%) and blue water use (69.2%) compared to the average population. Diets of the “low meat dietary pattern” were associated with lower GHGE (19.6%) and higher blue water use (7.7%). Concluding, the “low meat dietary pattern” was the most healthy and sustainable dietary pattern in this population. The addition of blue water use as an environmental impact indicator shows the difficulty of finding existing dietary patterns that have low environmental impact in all determinants.

Relationship between publication indicators and citation impact indicators for publications in business, management, and accounting listed in Scopus from 2015 to 2019

Purpose: This study examined whether article-level publication indicators were related to citation impact indicators in the business, management, and accounting categories listed in Scopus. Article-level publication indicators included the number of authors, countries, and keywords, as well as title length, while citation impact indicators included the field-weighted citation impact (FWCI) at the article level and Scimago Journal Rank (SJR) at the journal level. The optimal values of four article-level publication indicators for maximizing the FWCI and SJR were calculated.Methods: All publication and citation impact indicators were gathered for articles and reviews in the business, management, and accounting fields published from 2015 and 2019 and listed in Scopus and SciVal. Correlations between four article-level citation indicators and each citation impact indicator were analyzed.Results: The number of authors was positively associated with the FWCI, while the number of countries and keywords was not associated with the FWCI or SJR. Title length was negatively associated with the FWCI and SJR. The optimal publication indicators to maximize the FWCI were four authors, three more countries, six keywords, and a title word count of 14 to 19. The optimal publication indicators to maximize the SJR were three to four coauthors, three to four countries of collaborators, five keywords, and a title word count of two to seven.Conclusion: Authors aiming to get higher citations and publish in higher-ranking SJR journals in the business, management, and accounting categories are recommended to pay close attention to design of research team and the number of keywords and impactful title length so that the publication will have a higher likelihood of being accepted and receiving citations.

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19

On December 31st 2019, the World Health Organization China Country Office was informed of cases of pneumonia of unknown etiology detected in Wuhan City. The cause of the syndrome was a new type of coronavirus isolated on January 7th 2020 and named Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). SARS-CoV-2 is the cause of the coronavirus disease 2019 (COVID-19). Since January 2020 an ever increasing number of scientific works related to the new pathogen have appeared in literature. Identifying relevant research outcomes at very early stages is challenging. In this work we use COVID-19 as a use-case for investigating: (1) which tools and frameworks are mostly used for early scholarly communication; (2) to what extent altmetrics can be used to identify potential impactful research in tight (i.e. quasi-zero-day) time-windows. A literature review with rigorous eligibility criteria is performed for gathering a sample composed of scientific papers about SARS-CoV-2/COVID-19 appeared in literature in the tight time-window ranging from January 15th 2020 to February 24th 2020. This sample is used for building a knowledge graph that represents the knowledge about papers and indicators formally. This knowledge graph feeds a data analysis process which is applied for experimenting with altmetrics as impact indicators. We find moderate correlation among traditional citation count, citations on social media, and mentions on news and blogs. Additionally, correlation coefficients are not inflated by indicators associated with zero values, which are quite common at very early stages after an article has been published. This suggests there is a common intended meaning of the citational acts associated with aforementioned indicators. Then, we define a method, i.e. the Comprehensive Impact Score (CIS), that harmonises different indicators for providing a multi-dimensional impact indicator. CIS shows promising results as a tool for selecting relevant papers even in a tight time-window. Our results foster the development of automated frameworks aimed at helping the scientific community in identifying relevant work even in case of limited literature and observation time.

Effects of Connected and Automated Vehicles in a Cooperative Environment

Cooperative and automated vehicles (CAVs) are often considered a mean to improve quality of life in cities, the traffic flow parameters in particular. This paper provides some evidence based on microscopic traffic simulation on how the effects can really be. Important is that the particular use cases are not built in vehicles only. We focus on so called cooperative environment and advanced traffic control measures.This paper describes the impact of CAVs on a cooperative urban environment, resulting from a European research project - MAVEN. We clearly demonstrate that a proper integration of CAVs into city traffic management can, for example, help with respect to the environmental goals and reduce CO2 emissions by up to 12 % (a combination of GLOSA and signal optimization). On corridors with a green wave, a capacity increase of up to 34% was achieved. Already for lower penetra- tion rates (20% penetration of CAVs), there are significant improvements in traffic performance. For example, platooning leads to a decrease of CO2 emissions of 2,6 % or an impact indicator by 17,7%.

The future of circular environmental impact indicators for cultural heritage buildings in Europe

Background The European building and construction sector is extremely resource-intensive. This makes the renovation of existing buildings, including the adaptive reuse of cultural heritage buildings (ARCH), important for reducing the materials and energy intensity of the sector. Currently, Europe is embarking on a Circular Economy (CE) strategy that directly affects the environmental indicators for buildings and landscapes, including ARCH. However, there is a misalignment between macro-level European CE policy goals and micro-level renovation and management of existing buildings and ARCH. The analysis shows that macro European Union-level indicators are too narrowly defined to effectively guide the implementation of CE at the micro-project level for ARCH. Results This policy study develops a comprehensive ARCH Circular Environmental Impact Indicator Framework to close this gap by: (1) defining the research question; (2) identifying the causal network; and (3) selecting the best indicators. The study compares Circular Environmental Indicators for ARCH projects to current and developing European management schemes. Best practices in environmental impact assessment at the project level are highlighted for the building and construction sector in Europe. Conclusions The proposed new framework is a comprehensive and suitable list of explicitly circular environmental indicators for ARCH. The framework has immediate practical applications for practitioners and policymakers interested in the CE regime for buildings in Europe.

End-of-Life Recycling Options of (Nano)Enhanced CFRP Composite Prototypes Waste—A Life Cycle Perspective

Life cycle assessment is a methodology to assess environmental impacts associated with a product or system/process by accounting resource requirements and emissions over its life cycle. The life cycle consists of four stages: material production, manufacturing, use, and end-of-life. This study highlights the need to conduct life cycle assessment (LCA) early in the new product development process, as a means to assess and evaluate the environmental impacts of (nano)enhanced carbon fibre-reinforced polymer (CFRP) prototypes over their entire life cycle. These prototypes, namely SleekFast sailing boat and handbrake lever, were manufactured by functionalized carbon fibre fabric and modified epoxy resin with multi-walled carbon nanotubes (MWCNTs). The environmental impacts of both have been assessed via LCA with a functional unit of ‘1 product piece’. Climate change has been selected as the key impact indicator for hotspot identification (kg CO2 eq). Significant focus has been given to the end-of-life phase by assessing different recycling scenarios. In addition, the respective life cycle inventories (LCIs) are provided, enabling the identification of resource hot spots and quantifying the environmental benefits of end-of-life options.

KEMAMPUAN LITERASI SAINS SISWA SMA DI KOTA KENDARI: DESKRIPSI & ANALYSIS

ABSTRAK Tujuan dari kajian ini adalah memberikan gambaran kemampuan literasi sains siswa SMA khusunya di kota Kendari. Subjek penelitian terpusat di SMA 1 Kendari dengan total subjek sebanyak 350 orang. Topik pelajaran yang digunakan adalah energi. Jenis penelitian ini menggunakan deskriptif dengan pendekatan kuantitatif. Teknik pengumpalan data menggunaka tes yang didalamnya meliputi aspek kontek, konten, dan proses. Sedangkan teknik analisis data menggunakan statustuf deskriptif . Hasil investigasi diperoleh bahwa Kemampuan literasi sains peserta didik kelas X di SMAN 1 Kendari pada indicator aspek konten dimana indicator pertama yaitu perubahan energy memperoleh nilai presentase 70,83% dengan kategori cukup. Kemudian untuk indicator bahan bakar alternative memperoleh nilai presentase 79,72% dengan kategori baik. Sedangkan untuk indicator molekul penyedia energi memperoleh nilai presentase 33,75% dengan kategori sangat rendah. Kemampuan literasi sains peserta didik kelas X di SMAN 1 Kendari pada indicator aspek proses dimana pada indicator pertama mengidentifikasi isu ilmiah memperoleh nilai presentase 50,13% dengan rendah. Kemudian untuk indicator menjelaskan fenomena ilmiah memperoleh nilai presentase 34,62% dengan kategori sangat rendah. Sedangkan untuk indicator menggunakan bukti ilmiah memperoleh nilai presentase 52,69% dengan kategori rendah. Sedangkan kemampuan literasi sains peserta didik kelas X di SMAN 1 Kendari pada indicator aspek konteks dimana pada indicator pertama aplikasi energi bidang teknologi memperoleh nilai presentase 89,72% dengan kategori sangat baik. Kemudian untuk indicator energi dalam meningkatkan mutu lingkungan memperoleh nilai presentase 29,16% dengan kategori sangat rendah. Untuk indicator dampak energi memperoleh nilai presentase 17,08% dengan kategori sangat rendah. Kata kunci—Literasi sains, Pembelajaran fisika ABSTRACT The purpose of this study was to provide an overview of the ability of student senior high school of scientific literacy especially in the city of Kendari.The research subjects were concentrated in senior high school 1 Kendari with a total of 350 subjects. The topic of the lesson used was energy. This type of research used descriptive quantitative approach.Data collection techniques use tests which included aspects of context, content, and process. While the data analysis technique used descriptive statistics. The results of the investigation found that the scientific literacy ability of class X students in Senior High School 1 Kendari on the indicator aspect of content where the first indicator was the change in energy obtains a percentage of 70.83% with a sufficient category. Then for alternative fuel indicators got a percentage value of 79.72% with a good category. As for the energy supply molecular indicator, it s a percentage of 33.75% with a very low category. The ability of scientific literacy in class X students in Senior High School 1 Kendari in the process aspect indicator where the first indicator identifies scientific issues obtains a percentage value of 50.13% with low. Then, to explain scientific phenomena acquire indicator value percentage of 34.62% with a very low category. As for the indicator using scientific evidence obtained percentage value of 52.69% with a lower category. While the scientific literacy ability of class X students in Senior High School 1 Kendari on the indicator of context aspects where the first indicator of energy application in the technology field obtained a percentage value of 89.72% with a very good category. Then for the energy indicator in improving environmental quality, the percentage value is 29.16% with a very low category. To obtain the energy impact indicator value percentage of 17.08% with a very low category. Keywords—Science literacy, Physics learning