A photoelectron-photoion coincidence study of iron pentacarbonyl
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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA photoelectron-photoion coincidence study of iron pentacarbonylK. Norwood, A. Ali, G. D. Flesch, and C. Y. NgCite this: J. Am. Chem. Soc. 1990, 112, 21, 7502–7508Publication Date (Print):October 1, 1990Publication History Published online1 May 2002Published inissue 1 October 1990https://pubs.acs.org/doi/10.1021/ja00177a008https://doi.org/10.1021/ja00177a008research-articleACS PublicationsRequest reuse permissionsArticle Views202Altmetric-Citations68LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-AlertsKeywords:
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Altmetric is an indicator which provides the attention for the publications on social media platforms. Mendeley is a free reference manager and an academic social network, through which altmetrics provides the readership counts on a various basis like demographic, geographic etc. The present study is carried out to evaluate the association between the citation counts and Mendeley readership by doing the case study of highly cited publications in E-Learning. In the digital era, the mode of learning is also shifted towards the digital platform, so the area E -learning is selected for the present study. The data were collected using Web of Science Core Collection (included SCI-Expanded, A&HCI, and SSCI) by selecting the top 25 highly cited publications in the area of E-Learning during 2012 - 2017. The study found that Mendeley Readership was higher as compared to citations received for the publications in both the year and the main reason for this is that it has a large coverage for measuring readership. One of the most important things of the Mendeley is that it does not provide statistics for zero readerships unlike the citations because if the publication does not have a single citation, the citation database shows that statistics also. The study also recommends that Mendeley readership counts can be used as complementary indicators for research evaluation.
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Despite contradicting evidence that open access (OA) articles might have greater citation advantage, there is less case studies in developing countries showing whether their global publication availability pattern advantages scientific impact metrics. Also, by addition of altmetrics to the world scientific evaluation system it is less known how different research access channels such as OA publishers, PubMed database and arXiv repository help altmetric indicators. Therefore, this paper investigates the case of WoS publications of Iran (2001-2012) for impact of mentioned publication availability models on citation, Mendeley readership, and tweet counts across four broader disciplines. Findings on 98,453 articles show that gold OA papers (5%) do not benefit significantly more metric counts, except in tweets linking to OA medical publications. Articles in PubMed Central (3%) significantly advantage the three investigated metrics, whereas arXiv preprints (2%) had higher readership advantage only. Different from PubMed publications, tweets to OA medical research were not significantly correlated with citations, suggesting their social impact rather than scientific. Additionally, OA publications are not significantly read by Mendeley users in developing countries, but developed ones, only in life science and biomedicine. Therefore, repository availability appears to be highly impactful in terms of citation and readership, whereas OA publications tend to receive rather high social impact through tweets. Conference Topic Altmetric
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Background : the aim of the article is to conduct an overview of the impact of OA on the medical articles based on 3-part categorization. Methods : Data were identified by a search strategy with eight combinations of keywords (open access, citation impact, citation advantage, citation count, article download, article usage, social media attention, altmetrics) and searched in three different databases. Results : the analysis was conducted on 107 studies dealing with citations, downloads and social impact. Sixty-seven of them simply employed the counting citations to OA and non-OA articles; nineteen articles compared the downloads and citations counts; and twenty-one articles investigated the social impact of OA articles. Twenty-five articles investigated the citations, download counts, and social impact of medical articles. Conclusions : The studies investigating the citation impact mostly showed citation advantages. Those that employed citation and download counts of medical articles using randomized controlled trials showed that OA articles were downloaded significantly more frequently, but found no evidence of a citation advantage for open access articles. The citation advantage from open access might be caused by other factors. Results of the studies comparing the social media attention and citations/downloads of the medical articles are often diametrically opposed.
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Scholarly and social impacts of scientific publications could be measured by various metrics. In this study, the relationship between various metrics of 63,805 PLOS research articles are studied. Generally, article views correlate well with citation, however, different types of article view have different levels of correlation with citation, when pdf download correlates the citation most significantly. It's necessary for publishers and journals to provide detailed and comprehensive article metrics. Although the low correlation between social attention and citation is confirmed by this study and previous studies, more than ever, we find that social attention is highly correlated with article view, especially the browser html view. Social attention is the important source that bringing network traffic to browser html view and may lead to citation subsequently. High altmetric score has the potential role in promoting the long-term academic impact of articles, when a conceptual model is proposed to interpret the conversion from social attention to article view, and to citation finally.
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In this study, the ‘academic status’ of users of scientific publications in Mendeley is explored in order to analyse the usage pattern of Mendeley users in terms of subject fields, citation and readership impact. The main focus of this study is on studying the filtering capacity of Mendeley readership counts compared to journal citation scores in detecting highly cited WoS publications. Main finding suggests a faster reception of Mendeley readerships as compared to citations across 5 major field of science. The higher correlations of scientific users with citations indicate the similarity between reading and citation behaviour among these users. It is confirmed that Mendeley
readership counts filter highly cited publications (PPtop 10%) better than journal citation scores in all subject fields and by most of user types. This result reinforces the potential role that Mendeley readerships could play for informing scientific and alternative impacts.
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Content-based Semantic Web retrieval only considers the content itself,without taking into account the different users,and it can not accurately reflect user needs.Aiming at the problem,this paper proposes a framework for adaptive semantic Web retrieval.For Chinese documents on the Web,it gives a kind of ontology learning method with HowNet,builds user information database by extracting the user objective,explicit and implicit information,designs the initial query ontology and personalized query ontology construction algorithm,and ultimately achieves the user's adaptive retrieval.Result shows the method has higher retrieval efficiency.
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This study aimed to assess the paths through which save metrics (on CiteULike, Mendeley, and Figshare) and discussion metrics (on Twitter, Facebook, and Wikipedia) influence citation. This descriptive-correlation study investigates the relationships between different variables based on its proposed conceptual model. Systematic and stratified sampling was employed and, using the Cochrane formula, the sample size was determined to be 1892 articles. Data were collected using the PLOS altmetrics, and path analysis was administered to test the conceptual model by using AMOS software. The results convey that Mendeley was the most effective path resulting to citation. Mendeley has a positive and significant relationship with citation via save as an intermediator. Twitter also had a negative and significant relationship with citation via discussion as an intermediating factor. Yet, neither save metrics on CiteULike and Figshare nor discussion on Facebook and Wikipedia does create a path of influence on citation. Identifying the effective paths through which social networks affect citation via altmetrics and presenting a final model of those paths could enrich and expand the theoretical foundations in the field of altmetrics. Besides identifying the most effective social networks and paths for online scientific interactions that lead to citation, the implications of this research can provide deeper insights for policy makers, editors and scholars.
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This study examines a range of factors associating with future citation and altmetric counts to a paper. The factors include journal impact factor, individual collaboration, international collaboration, institution prestige, country prestige, research funding, abstract readability, abstract length, title length, number of cited references, field size, and field type and will be modelled in association with citation counts, Mendeley readers, Twitter posts, Facebook posts, blog posts, and news posts. The results demonstrate that eight factors are important for increased citation counts, seven different factors are important for increased Mendeley readers, eight factors are important for increased Twitter posts, three factors are important for increased Facebook posts, six factors are important for increased blog posts, and five factors are important for increased news posts. Journal impact factor and international collaboration are the two factors that significantly associate with increased citation counts and with all altmetric scores. Moreover, it seems that the factors driving Mendeley readership are similar to those driving citation counts. However, the altmetric events differ from each other in terms of a small number of factors; for instance, institution prestige and country prestige associate with increased Mendeley readers and blog and news posts, but it is an insignificant factor for Twitter and Facebook posts. The findings contribute to the continued development of theoretical models and methodological developments associated with capturing, interpreting, and understanding altmetric events.
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Altmetrics are a relatively new phenomenon in research. These metrics measure the attention that research articles receive from nontraditional venues such as social media and the Internet. This study examined how these metrics affect both the readership and citation of articles in communication research. The study examined citation data alongside altmetrics data from academic social networking sites ResearchGate and Mendeley, as well as mentions on Facebook, Twitter, and Google+. Results indicated that all altmetrics positively correlated with citation. Posting articles on sites such as ResearchGate and Mendeley not only impacted readership, it increased the likelihood of citation. Other variables that improved readership and citation were social media mentions, downloadable articles, coauthorship, and an active online presence among scholars.
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