Emerging Alternatives to the Impact Factor

Purpose: The authors document the proliferating range of alternatives to the impact factor that have arisen within the past five years, coincident with the increased prominence of open access publishing. Methodology/Approach: This paper offers an overview of the history of the impact factor as a measure for scholarly merit; a summary of frequent criticisms of the impact factor’s calculation and usage; and a framework for understanding some of the leading alternatives to the impact factor. Findings: This paper identifies five categories of alternatives to the impact factor: a. Measures that build upon the same data that informs the impact factor. b. Measures that refine impact factor data with “page rank” indices that weight electronic resources or Web sites through the number of resources that link to them. c. Measures of article downloads and other usage factors. d. Recommender systems, in which individual scholars rate the value of articles and a group’s evaluations pool together collectively. e. Ambitious measures that attempt to encompass the interactions and influence of all inputs in the scholarly communications system. Value of Paper: Librarians can utilize the measures described in this paper to support more robust collection development than is possible through reliance on the impact factor alone

Social and Web presence of Cultural Heritage Organisations in India

The present study focuses on the Social and Web presence of 27 Cultural Heritage Organisations in India. The purpose of this study is to investigate the domain authority, number of webpages, links, calculate the web impact factors and link-mentions on Social Networking Sites of the websites of Cultural Heritage Organisations and rank them accordingly. Analysing the websites of the Cultural Heritage Organisations it was found that majority of them have \u27.gov.in\u27 domain name in their URLs. The study found that the highest domain authority (63) and page authority (51) was recorded by website of the Archaeological Survey of India. Indira Gandhi National Centre for the Arts ranked first in the global popularity ranking, with an Alexa rank of 289,037. Sahitya Akademi was first, with a bounce rate of 29.70 percent and the most average pages viewed by users per day (4.3). Lalit Kala Akademi ranked first in terms of estimated daily time spent on the site by visitors (06:14). With the highest number of in-links (646), Archaeological Survey of India ranked first. In WIF calculation, Archaeological Survey of India occupied first place with 7576.099 Simple Web Impact Factor. National Council of Science Museums with (0.865) Self-link Web Impact Factor holds the first position. External Web Impact Factor and Revised Link Web Impact Factor of North East Zone Cultural Centre with 1.137 EWIF and 0.549 RLWIF was found to be the highest. Sahitya Akademi (5,087) ranked first among all the Cultural Heritage Organisations under study, with the most link-mentions on Social Networking Sites (SNS)

Energy and carbon performance of housing : upgrade analysis, energy labelling and national policy development

The area of policy formulation for the energy/carbon performance of housing is coming under increasing focus. A major challenge is to account for the large variation within national housing stocks relative to factors such as location, climate, age, construction, previous upgrades, appliance use and heating/cooling system types. Existing policy oriented tools rely on static calculation models that have limited ability to represent building behaviour and the impact of future changes in climate and technology. The switch to detailed simulation tools to address these limitations in the context of policy development has hitherto been focussed on the modelling of a small number of representative designs rather than dealing with the spread inherent in large housing stocks. To address these challenges, the ESRU Domestic Energy Model (EDEM) has been developed as a Web based tool built on detailed simulation models that have been aligned with the outcomes of national house condition surveys. On the basis of pragmatic inputs, EDEM is able to determine energy use and carbon emissions at any scale – from an individual dwelling to national housing stocks. The model was used at the behest of the Scottish Building Standards Agency and South Ayrshire Council to determine the impact of upgrades and the deployment of new and renewable energy systems. EDEM was also used to rate the energy/carbon performance of individual dwellings as required by the EU Directive on the Energy Performance of Buildings (EU, 2002). This paper describes the EDEM methodology and presents the findings from applications at different scales

Lost Revenue Recognition in E-commerce: Identifying Causes and Implications

openIn order for e-commerce companies to remain financially healthy, revenue recognition is essential. The sector encounters various problems, including slow-loading pages, problematic web resources, and errors, which can result in revenue losses. This research aims to investigate the causes of lost revenue in e-commerce and propose algorithmic solutions to address these challenges. This study examines the impact of slow pages, problematic web resources, and errors on revenue recognition in the e-commerce industry. In this study, real-world data is analyzed and used to identify how these factors negatively impact e-commerce companies' revenue. Additionally, the study proposes a methodology for calculating the potential revenue that could have been recognized in the absence of the identified factors contributing to lost revenue recognition. This methodology incorporates machine learning techniques, and data visualization tools to estimate the extent of revenue loss. The resulting insights provide decision-makers in e-commerce companies with valuable information for optimizing revenue recognition strategies and maximizing financial performance. This research aims to identify the causes of revenue loss in e-commerce. In order to improve revenue recognition accuracy and maximize business performance in the digital marketplace, e-commerce companies will need to develop algorithmic solutions and implement revenue calculation methodologies to address these issues

Emerging Alternatives to the Impact Factor

Purpose: The authors document the proliferating range of alternatives to the impact factor that have arisen within the past five years, coincident with the increased prominence of open access publishing. Methodology/Approach: This paper offers an overview of the history of the impact factor as a measure for scholarly merit; a summary of frequent criticisms of the impact factor’s calculation and usage; and a framework for understanding some of the leading alternatives to the impact factor. Findings: This paper identifies five categories of alternatives to the impact factor: a. Measures that build upon the same data that informs the impact factor. b. Measures that refine impact factor data with “page rank” indices that weight electronic resources or Web sites through the number of resources that link to them. c. Measures of article downloads and other usage factors. d. Recommender systems, in which individual scholars rate the value of articles and a group’s evaluations pool together collectively. e. Ambitious measures that attempt to encompass the interactions and influence of all inputs in the scholarly communications system. Value of Paper: Librarians can utilize the measures described in this paper to support more robust collection development than is possible through reliance on the impact factor alone

Minimum impact and immediacy of citations to physics open archives of arXiv.org: Science Citation Index based reports

The present work has calculated the minimum Open Archive Impact Factors and Open Archive Immediacy Index for the Physics Classes of arXiv.org as calculated for traditional journals in Journal Citation Reports of the Institute of Scientific Information using Science Citation Index without the citation by the classes itself. The calculated Impact Factors reveal that High-Energy Physics classes of arXiv.org (‘hep-th’, ‘hep-lat’, ‘hep-ex’, and ‘hep-ph’) have made more impact on the scientific community than any other classes except ‘nucl-ex’. The Impact Factors for the year 2003 are: ‘hep-th’ (0.999), ‘nucl-ex’ (0.806), ‘hep-lat’ (0.766), ‘hep-ex’ (0.73), ‘hep-ph’ (0.719), ‘nucl-th’ (0.338), ‘quant-ph’ (0.334), ‘cond-mat’ (0.313), ‘astro-ph’ (0.195), ‘math-ph’ (0.162), ‘physics’ (0.061), and ‘gr-qc’ (0.002). If the period for getting the citations to the open archive classes is considered one year as against two years for journal articles, the rank of the classes is the same. The immediacy of citing the Open Archives is also high for the High-Energy Physics classes. The Immediacy Indexes for the year 2003 are: ‘hep-ex’ (0.619), ‘hep-th’ (0.454), ‘hep-ph’ (0.44), ‘hep-lat’ (0.263), ‘nucl-ex’ (0.238), ‘quant-ph’ (0.202), ‘nucl-th’ (0.185), ‘cond-mat’ (0.168), ‘astro-ph’ (0.094), ‘math-ph’ (0.075), ‘physics’ (0.03), and ‘gr-qc’ (0.002). The impact is definitely much higher than what is concluded from the calculated factors because self-citations are not reckoned in the study. Use of web-tools like ‘Citebase’, ‘Citeseer’ etc. may strengthen the above argument

A review of the literature on citation impact indicators

Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review of the literature on citation impact indicators. First, an overview is given of the literature on bibliographic databases that can be used to calculate citation impact indicators (Web of Science, Scopus, and Google Scholar). Next, selected topics in the literature on citation impact indicators are reviewed in detail. The first topic is the selection of publications and citations to be included in the calculation of citation impact indicators. The second topic is the normalization of citation impact indicators, in particular normalization for field differences. Counting methods for dealing with co-authored publications are the third topic, and citation impact indicators for journals are the last topic. The paper concludes by offering some recommendations for future research

Modelling the impact of the recession on greenhouse gases from agriculture in Ireland

working paperThe effects of the recession of 2009 have been felt across the economy of Ireland. The rapid contraction in economic activity has had its effect on greenhouse gas (GHG) emissions as well. It is possible to model the recession’s effect on agricultural GHG in the FAPRI-Ireland GHG model using the latest international commodity price projections from Food and Agricultural Policy Research Institute (FAPRI). The FAPRI-Ireland GHG model creates projections of future levels of Irish agricultural activity and then uses a mix of national and default emissions factors to convert this activity to estimates of annual GHG emissions from now to 2020. Our model is shocked using post-downturn commodity price projections for a selection of exogenous prices. The changes to these international commodity prices reflect the international market response to the downturn, and as such they have an impact on the level of GHG emitted by the agricultural sector in Ireland. This analysis finds that, despite the depth and breadth of the recession, the impact on GHG emissions from Irish agriculture has been muted. The impact of the shock is to reduce the projected annual emissions from the sector by only 0.14 Mt by 2020. This compares to the 2.97 Mt reduction in annual emissions which the sector would have to achieve if, for example, a reduction target of 20 percent on 2005 levels were to be imposed