Search (19 results, page 1 of 1)

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Abstract

We investigate the extent to which open-access (OA) journals and articles in biology, computer science, economics, history, medicine, and psychology are indexed in each of 11 bibliographic databases. We also look for variations in index coverage by journal subject, journal size, publisher type, publisher size, date of first OA issue, region of publication, language of publication, publication fee, and citation impact factor. Two databases, Biological Abstracts and PubMed, provide very good coverage of the OA journal literature, indexing 60 to 63% of all OA articles in their disciplines. Five databases provide moderately good coverage (22-41%), and four provide relatively poor coverage (0-12%). OA articles in biology journals, English-only journals, high-impact journals, and journals that charge publication fees of $1,000 or more are especially likely to be indexed. Conversely, articles from OA publishers in Africa, Asia, or Central/South America are especially unlikely to be indexed. Four of the 11 databases index commercially published articles at a substantially higher rate than articles published by universities, scholarly societies, nonprofit publishers, or governments. Finally, three databases-EBSCO Academic Search Complete, ProQuest Research Library, and Wilson OmniFile-provide less comprehensive coverage of OA articles than of articles in comparable subscription journals.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1614-1628

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Date

22. 1.2016 14:11:17

Source

Journal of the Association for Information Science and Technology. 67(2016) no.2, S.412-431

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Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 69(2017) no.6, S.674-687

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Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 69(2017) no.5, S.557-575

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Source

Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2145-2156

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Abstract

SlideShare is a free social website that aims to help users distribute and find presentations. Owned by LinkedIn since 2012, it targets a professional audience but may give value to scholarship through creating a long-term record of the content of talks. This article tests this hypothesis by analyzing sets of general and scholarly related SlideShare documents using content and citation analysis and popularity statistics reported on the site. The results suggest that academics, students, and teachers are a minority of SlideShare uploaders, especially since 2010, with most documents not being directly related to scholarship or teaching. About two thirds of uploaded SlideShare documents are presentation slides, with the remainder often being files associated with presentations or video recordings of talks. SlideShare is therefore a presentation-centered site with a predominantly professional user base. Although a minority of the uploaded SlideShare documents are cited by, or cite, academic publications, probably too few articles are cited by SlideShare to consider extracting SlideShare citations for research evaluation. Nevertheless, scholars should consider SlideShare to be a potential source of academic and nonacademic information, particularly in library and information science, education, and business.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1989-2003

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Content

Der Text ist eine überarbeitete Version des von Herb, U. (2018): Zwangsehen und Bastarde : Wohin steuert Big Data die Wissenschaft? In: Information - Wissenschaft & Praxis, 69(2-3), S. 81-88. DOI:10.1515/iwp-2018-0021.

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Abstract

Within science, citation counts are widely used to estimate research impact but publication delays mean that they are not useful for recent research. This gap can be filled by Mendeley reader counts, which are valuable early impact indicators for academic articles because they appear before citations and correlate strongly with them. Nevertheless, it is not known how Mendeley readership counts accumulate within the year of publication, and so it is unclear how soon they can be used. In response, this paper reports a longitudinal weekly study of the Mendeley readers of articles in 6 library and information science journals from 2016. The results suggest that Mendeley readers accrue from when articles are first available online and continue to steadily build. For journals with large publication delays, articles can already have substantial numbers of readers by their publication date. Thus, Mendeley reader counts may even be useful as early impact indicators for articles before they have been officially published in a journal issue. If field normalized indicators are needed, then these can be generated when journal issues are published using the online first date.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.1, S.158-167

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Abstract

In 2014 leading publishers withdrew more than 120 nonsensical publications automatically generated with the SCIgen program. Casual observations suggested that similar problematic papers are still published and sold, without follow-up retractions. No systematic screening has been performed and the prevalence of such nonsensical publications in the scientific literature is unknown. Our contribution is 2-fold. First, we designed a detector that combs the scientific literature for grammar-based computer-generated papers. Applied to SCIgen, it has a 83.6% precision. Second, we performed a scientometric study of the 243 detected SCIgen-papers from 19 publishers. We estimate the prevalence of SCIgen-papers to be 75 per million papers in Information and Computing Sciences. Only 19% of the 243 problematic papers were dealt with: formal retraction (12) or silent removal (34). Publishers still serve and sometimes sell the remaining 197 papers without any caveat. We found evidence of citation manipulation via edited SCIgen bibliographies. This work reveals metric gaming up to the point of absurdity: fraudsters publish nonsensical algorithmically generated papers featuring genuine references. It stresses the need to screen papers for nonsense before peer-review and chase citation manipulation in published papers. Overall, this is yet another illustration of the harmful effects of the pressure to publish or perish.

Source

Journal of the Association for Information Science and Technology. 72(2021) no.12, S.1461-1476

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Source

Information processing and management. 41(2005) no.6, S.1403-1418

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Source

Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1282-1293

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Source

Information processing and management. 45(2009) no.1, S.131-141

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Abstract

Hybrid open access refers to articles freely accessible via the Internet but which originate from an academic journal that provides most of its content via subscription. The effect of hybrid open access on citation counts and author behavior in the field of chemistry is something that has not been widely studied. We compared 814 open access articles and 27,621 subscription access articles published from 2006 through 2011 in American Chemical Society journals. As expected, the 2 comparison groups are not equal in all respects. Cumulative citation data were analyzed from years 2-5 following an article's publication date. A citation advantage for open access articles was correlated with the journal impact factor (IF) in low and medium IF journals, but not in high IF journals. Open access articles have a 24% higher mean citation rate than their subscription counterparts in low IF journals (confidence limits 8-42%, p = .0022) and similarly, a 26% higher mean citation rate in medium IF journals (confidence limits 14-40%, p < .001). Open access articles in high IF journals had no significant difference compared to subscription access articles (13% lower mean citation rate, confidence limits -27-3%, p = .10). These results are correlative, not causative, and may not be completely due to an open access effect. Authors of the open access articles were also surveyed to determine why they chose a hybrid open access option, paid the required article processing charge, and whether they believed it was money well spent. Authors primarily chose open access because of funding mandates; however, most considered the money well spent because open access increases information access to the scientific community and the general public, and potentially increases citations to their scholarship.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.10, S.2501-2510

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Source

Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2047-2054

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Source

Journal of the American Society for Information Science and Technology. 63(2012) no.11, S.2140-2145

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Source

Journal of the Association for Information Science and Technology. 68(2017) no.8, S.2004-2016

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Journal of the Association for Information Science and Technology. 68(2017) no.10, S.2511-2521

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Journal of the Association for Information Science and Technology. 69(2018) no.4, S.619-622

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Content

The volume of scientific literature typically far exceeds the ability of scientists to identify and utilize all relevant information in their research. Improvements to the accessibility of scientific literature, allowing scientists to locate more relevant research within a given time, have the potential to dramatically improve communication and progress in science. With the web, scientists now have very convenient access to an increasing amount of literature that previously required trips to the library, inter-library loan delays, or substantial effort in locating the source. Evidence shows that usage increases when access is more convenient, and maximizing the usage of the scientific record benefits all of society. Although availability varies greatly by discipline, over a million research articles are freely available on the web. Some journals and conferences provide free access online, others allow authors to post articles on the web, and others allow authors to purchase the right to post their articles on the web. In this article we investigate the impact of free online availability by analyzing citation rates. We do not discuss methods of creating free online availability, such as time-delayed release or publication/membership/conference charges. Online availability of an article may not be expected to greatly improve access and impact by itself. For example, efficient means of locating articles via web search engines or specialized search services is required, and a substantial percentage of the literature needs to be indexed by these search services before it is worthwhile for many scientists to use them. Computer science is a forerunner in web availability -- a substantial percentage of the literature is online and available through search engines such as Google (google.com), or specialized services such as ResearchIndex (researchindex.org). Even so, the greatest impact of the online availability of computer science literature is likely yet to come, because comprehensive search services and more powerful search methods have only become available recently. We analyzed 119,924 conference articles in computer science and related disciplines, obtained from DBLP (dblp.uni-trier.de). In computer science, conference articles are typically formal publications and are often more prestigious than journal articles, with acceptance rates at some conferences below 10%. Citation counts and online availability were estimated using ResearchIndex. The analysis excludes self-citations, where a citation is considered to be a self-citation if one or more of the citing and cited authors match.