Which papers cited which tweets? An exploratory analysis based on Scopus data

Many altmetric studies have analyzed which papers were mentioned how often on Twitter (one of the most important altmetrics sources). In order to study the potential relevance of tweets from another perspective, we investigate which tweets were cited in papers. If many tweets were cited in publications, this might demonstrate that tweets have substantial and useful content. Overall, a rather low number of citations to tweets (n=13,149) by less than 7,000 papers was found. Most tweets do not seem to be cited because of any cognitive influence they might have had on studies; they rather were study objects. Thus, this study does not support a high relevance of tweets (for research). Most of the papers that cited tweets are from the subject areas Social Sciences, Arts and Humanities, and Medicine. Most of the papers cited only one tweet. Up to 65 tweets cited in a single paper were found. An author keyword analysis revealed that the single largest topic seems to be the COVID-19/corona pandemic.     

How to improve the prediction based on citation impact percentiles for years shortly after the publication date?

The findings of Bornmann, Leydesdorff, and Wang (2013b) revealed that the consideration of journal impact improves the prediction of long-term citation impact. This paper further explores the possibility of improving citation impact measurements on the base of a short citation window by the consideration of journal impact and other variables, such as the number of authors, the number of cited references, and the number of pages. The dataset contains 475,391 journal papers published in 1980 and indexed in Web of Science (WoS, Thomson Reuters), and all annual citation counts (from 1980 to 2010) for these papers. As an indicator of citation impact, we used percentiles of citations calculated using the approach of Hazen (1914). Our results show that citation impact measurement can really be improved: If factors generally influencing citation impact are considered in the statistical analysis, the explained variance in the long-term citation impact can be much increased. However, this increase is only visible when using the years shortly after publication but not when using later years.     

Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching

This study explores the impact of different collaboration modes on the cited frequency of publications. Though several studies have obtained some research results, most of them exploit association or regression-based methods, which may not lead to causal conclusions. To overcome the above challenges, we use the Propensity Score Matching (PSM) method to analyze and compare the citation frequencies resulting from four groups of collaboration models: international versus domestic, international multilateral versus international bilateral, domestic inter-organizational versus domestic intra-organizational, and domestic multi-author versus domestic single-author. More specifically, we conduct this analysis by exploring the publications with three computer science subfields from the Web of Science (WoS) database. The experimental results show that international collaboration, especially international multilateral collaboration, has a significant role in increasing the frequency of citations to scientific publications, showing that internationalization and collaboration are critical factors in the growth of the impact of the papers. Among national co-publications, collaborative publications within national organizations receive a higher citation impact. Multi-author collaborations significantly increase citation frequency compared to single-author publications. Our heterogeneity analysis across the different subfields of the computer science domain finds that the treatment effects for the three subfields differ modestly and mostly significant from the whole sample. Moreover, besides the implications for developing research policy and scientist collaboration, our study can capture the causal effect between author collaboration patterns and citation frequency to reveal their causal effects.     

An attempt of data exchange between the institutional repository and the information environment for the management of scientific research—ARP

In the present paper an attempt of data exchange between the institutional repository based on DSpace and the Academy Resource Planning System (ARP) of Chinese Academy of Sciences (CAS), which is the information environment for management of scientific research in CAS, was described. It includes the development of a tool based on browser which imports data from EXCEL into DSpace and a tool which exports data from DSpace into EXCEL. Consequently, data can be exchanged between ARP and DSpace through EXCEL. In addition, the way to customize the input form and the display page according to different types of documents was introduced.     

Choice book reviews in American history,geography, and area studies: An analysis for 1988–;1993

A random sampling of 375 book reviews published in Choice from 1988 to 1993 in American history, geography, and area studies was evaluated through a content analysis. The research investigated how frequently certain subjective evaluative criteria were applied by Choice reviewers. References to analysis, research or readability each appeared in approximately 50% of the reviews; references to editing, historical context, objectivity or thesis each appeared in less than 25% of the reviews. An average of 2.3 of these criteria appeared in a typical review. In addition, each review was coded for the overall opinion given a book by a reviewer. This study revealed that 76% of the books were favorably evaluated. Whereas the brief reviews in Choice are supported by some critical assessments, there are limits to the amount of subjective critical elements provided for library acquisitions professionals.     

Embracing the Opportunities Ahead: An Analysis of Communication Position Announcements for 2013–2014

Knowing what the Communication job market is can be helpful and informative when planning how to build a program of study or research. On the other side, those who are looking for a job or are preparing for future job hunting also need knowledge about the current job market to help make decisions and predictions. To facilitate these processes, this article surveys the entirety of job postings posted on NCA’s CRTNET service and Spectra publication over the course of 2013 and 2014. The analyses provide an in-depth look at what kind of positions are being offered, which have tenure-track options, what degrees are required, if and what research methodological experience is needed, what kind of institution is offering the position, whether grant and/or teaching experience is desired, and what kinds of topical specializations are sought after.     

Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration

With the rapid globalization of science, mobility is perceived as an important driver of scientific progress and innovation success. However, we have little knowledge about whether and how scientists’ mobility influences their career development, especially scientists’ productivity and collaboration. In this case study, using the data on 62,330 scientists, the Chinese computer scientists who published at least one computer science paper and published no fewer than 10 papers in total from 2000 to 2012, we apply difference in differences models in conjunction with PSM methods to show the effect of domestic mobility (i.e., moving inside China) on scientists’ research quantity and quality by distinguishing the direction of mobility. In contrast to the existing literature that documents a short-term negative effect due to adaption costs or disruption of routines and social capital, we do not observe an initial detrimental impact of following moves on productivity and collaboration, even for non-upward moves. We further find that mobility leads to increased collaboration with new partners without dampening scientists’ collaboration with previous collaborators. However, scientists have a higher probability of collaborating with new collaborators, as evidenced by the decreased share of previous collaborators to the total co-authors after they move. The findings of this case study imply that the benefits of mobility might outweigh its costs and that mobility improves scientists’ productivity and collaboration for prolific scientists in emerging countries.     

Gender equity in televised sports: A comparative analysis of men's and women's NCAA division I basketball championship broadcasts, 1991–1995

This study compares the variety and frequency of camera shots and graphics in broadcasts of men's and women's NCAA Division I championship basketball games from 1991 to 1995. Hypotheses predict that broadcasts of women's games—in comparison to broadcasts of men's games—employ fewer camera shots and graphics, use camera shots and graphics of longer duration, and consume significantly less broadcast time. The data partially confirms the first two hypotheses but rejects the third.     

Do altmetrics assess societal impact in a comparable way to case studies? An empirical test of the convergent validity of altmetrics based on data from the UK research excellence framework (REF)

Altmetrics have been proposed as a way to assess the societal impact of research. Although altmetrics are already in use as impact or attention metrics in different contexts, it is still not clear whether they really capture or reflect societal impact. This study is based on altmetrics, citation counts, research output and case study data from the UK Research Excellence Framework (REF), and peers’ REF assessments of research output and societal impact. We investigated the convergent validity of altmetrics by using two REF datasets: publications submitted as research output (PRO) to the REF and publications referenced in case studies (PCS). Case studies, which are intended to demonstrate societal impact, should cite the most relevant research papers. We used the MHq’ indicator for assessing impact – an indicator which has been introduced for count data with many zeros. The results of the first part of the analysis show that news media as well as mentions on Facebook, in blogs, in Wikipedia, and in policy-related documents have higher MHq’ values for PCS than for PRO. Thus, the altmetric indicators seem to have convergent validity for these data. In the second part of the analysis, altmetrics have been correlated with REF reviewers’ average scores on PCS. The negative or close to zero correlations question the convergent validity of altmetrics in that context. We suggest that they may capture a different aspect of societal impact (which can be called unknown attention) to that seen by reviewers (who are interested in the causal link between research and action in society).     

Bibliographical Resources for Eastern and Central European Studies: Experiences and Future Prospects: An International Symposium at Herder-Institut,Marburg, Germany,March 14–15, 2003

ABSTRACT

The article summarizes presentations at a symposium on bibliographical resources for Eastern and Central European studies, held at the Herder-Institut in Marburg, Germany. Online resources were presented from Germany (primarily), Austria, Sweden, the United Kingdom, and the United States.     

Text Readability and the Impact of Academic Articles: An Empiri-cal Study Based on Library and Information Science北大核心

哪些因素会影响学术论文的被引次数是文献计量学领域的一个经典研究议题。目前的研究主要关注论文的内容特征和形式特征与被引次数之间的关系,鲜有研究从文本可读性视角切入这一议题。文本可读性影响读者对文本内容的理解和知识吸收,是一个关乎知识传播效率和研究成果认可度的重要因素。本研究在控制论文知识品质和权威性的基础上,使用文本可读性R值等五个变量研究论文的文本可读性对被引次数的影响。以中文图书情报学知名期刊发表于2016—2020年的论文为研究样本,研究发现论文的文本可读性R值、是否采用复合式标题、是否使用公式和表格对被引次数有显著影响,而是否使用图对被引次数没有显著影响。研究验证了中文情境下文本可读性对论文影响力的实质性作用,研究结果对科研人员改善自身的中文学术写作以及提高研究成果影响力具有重要参考价值。     

Neighborhood-based in-library use performance measures for public libraries: A nationwide study of majority–minority and majority white/low income markets using personal digital data collectors

The practice of aggregating public library use data to a system-wide level (central library and branches) can mask the library needs of more specific groups of users. This article introduces a study that addressed this need, by identifying libraries serving majority White/low income and majority–minority markets, and surveying those populations to identify types and levels of use. The study is critical for current library research and practices for these reasons: (1) the increasing diversity in race/ethnicity and languages spoken in U.S. communities; (2) low circulation rates exacerbated by increased Internet use; (3) mere existence of a library is critical to optimize use by populations without the library and reading experience; and (4) the recent release of the U.S. Public Library Geographic Database (http://www.geolib.org/PLGDB.cfm) with neighborhood level census and library use data for all U.S. library jurisdictions. The methodologies developed offer potential for the collection of critical data for the public librarian of today.