共查询到20条相似文献，搜索用时 46 毫秒
1.
Twitter altmetrics has been proposed to measure the popularity and the potential societal impact of scientific products, but scientific tweeters who produce the Twitter altmetrics data have not been well explored. The study, by analyzing 2.63 million scientific tweeters’ data that are extracted from the Altmetric.com company dataset, is aimed to reveal their productivity and geographic distribution in a comprehensive way. To gain a more in-depth understanding of their account types and identities, 1468 scientific tweeters of different levels of activeness are sampled for further analysis. Our results show that: (1) The extent to which a small proportion of tweeters have posted most of scientific tweets increases over time. In 2016, 10% of scientific tweeters have posted 80% of scientific tweets; (2) Scientific tweeters are widely distributed around the world but in a different pattern with the distribution of general Twitter users. In addition, scientific tweeters are found to be more active in tweeting scientific products than retweeting them in certain areas. (3) Manual coding of the sampled tweeters shows that the percentage of bot accounts among scientific tweeters is 1.8%, which is much lower than that among general Twitter users. Moreover, 73% of scientific tweeters use Twitter for professional purpose, 76% use real names for their accounts, and 16% are institutional accounts. (4) Identities of scientific tweeters are diversified. 49% of them are researchers among which university faculty is the major type, and 38% of them are the general public. With these results we suggest number of scientific tweets is not a good indicator of measuring either popularity or impact, tweeter’s productivity, location and identities must be taken into consideration in interpreting the meaning of Twitter altmetrics. 相似文献
2.
《Journal of Informetrics》2014,8(3):562-568
How does the published scientific literature used by scientific community? Many previous studies make analysis on the static usage data. In this research, we propose the concept of dynamic usage data. Based on the platform of realtime.springer.com, we have been monitoring and recording the dynamic usage data of Scientometrics articles round the clock. Our analysis find that papers published in recent four years have many more downloads than papers published four years ago. According to our quantitative calculation, papers downloaded on one day have an average lifetime of 4.1 years approximately. Classic papers are still being downloaded frequently even long after their publication. Additionally, we find that social media may reboot the attention of old scientific literature in a short time. 相似文献
3.
4.
When a publication is cited it generates a benefit. Through the country affiliations of the citing authors, it is possible to work upwards, tracing the countries that benefit from results produced in a national research system. In this work we take the knowledge flow from Italy as an example. We develop a methodology for examination of how the knowledge flows vary across fields, in each beneficiary country. We also measure the field comparative advantage of countries in benefiting from Italian research. The results from this method can inform bilateral research collaboration policies. 相似文献
5.
6.
V. M. Moskovin 《Scientific and Technical Information Processing》2010,37(3):172-177
Open access to scientific knowledge is considered as a new neo-liberal project in the globalized world. The advantages and
disadvantages that members of the open access obtain are described. Open access greatly facilitates monitoring, analysis,
and control of scientific research by global institutions and transnational corporations, and enables them to identify promising
branches of knowledge on the periphery of the global science system that are obtained outside of the “mainstream” and use
them for their interests. The link between open access to scientific knowledge and knowledge feudalism is developed. 相似文献
7.
8.
Basic research is the main powerhouse of a country’s potential for continuous economic growth, and national-level scientific research funding is an important source of capital that supports this basic research. Given these observations, this paper takes micro-level data from projects funded by the Department of Management Sciences in the National Natural Science Foundation of China between 2006 and 2010 to examine the relationship between the efficient use of research funding and the level of concentrated funding in certain research institutions. In contrast to the positive externalities produced by the concentration of R&D activities, our study finds that the accumulation of scientific research funding at the institution level is negative correlated with the knowledge output of the principal investigators of projects within the research institution. We explore the sources of the negative correlation and discuss some policy implications. 相似文献
9.
《Journal of Informetrics》2022,16(4):101348
The tacit nature of knowledge suggests that face-to-face interactions in international academic collaborations are irreplaceable. Yet, such anecdotal evidence has not been adequately examined in the extant literature. Using the difference-in-differences estimation strategy, this paper investigates the causal effect of international nonstop flights on the quantity of high-impact Sino-US joint publications over the period between January 2009 and December 2018. We find that, on average, US-China international nonstop flights boost the production of influential articles aggregated at Chinese cities, with cities with less human capital earning more benefits. We do not find evidence in support of the crowding-out effect indicating this positive effect comes at the expense of domestic and international collaboration opportunities with other countries. These findings remain robust with various specifications. Policy implications for promoting global collaboration through face-to-face communication are discussed in the end. 相似文献
10.
A new size-independent indicator of scientific journal prestige, the SJR2 indicator, is proposed. This indicator takes into account not only the prestige of the citing scientific journal but also its closeness to the cited journal using the cosine of the angle between the vectors of the two journals’ cocitation profiles. To eliminate the size effect, the accumulated prestige is divided by the fraction of the journal's citable documents, thus eliminating the decreasing tendency of this type of indicator and giving meaning to the scores. Its method of computation is described, and the results of its implementation on the Scopus 2008 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), and SNIP, the comparison being made both overall and within specific scientific areas. All three, the SJR2 indicator, the SNIP indicator and the JIF distributions, were found to fit well to a logarithmic law. Although the three metrics were strongly correlated, there were major changes in rank. In addition, the SJR2 was distributed more equalized than the JIF by Subject Area and almost as equalized as the SNIP, and better than both at the lower level of Specific Subject Areas. The incorporation of the cosine increased the values of the flows of prestige between thematically close journals. 相似文献
11.
Growing cooperation between Chinese journals and international publishers invites an investigation of the effect of this cooperation, based on an analysis of journal IF changes. Data from 23 Chinese academic journals were chosen from about 50 English-language academic journals indexed by SCI or SCIE and with a long history of cooperation. The data do not suggest that cooperation has improved the journals’ IF thus far. It appears that cooperation is generally limited to international distribution, and this has a weak influence on the quality of the journal and its IF, even though the papers can be accessed by worldwide users through publishers’ international distribution networks. Cooperation with international publishers is one step, but actively working on the quality of the journals is a more important step. 相似文献
12.
Borja González-Pereira Vicente P. Guerrero-Bote Félix Moya-Anegón 《Journal of Informetrics》2010,4(3):379-391
A size-independent indicator of journals’ scientific prestige, the SCImago Journal Rank (SJR) indicator, is proposed that ranks scholarly journals based on citation weighting schemes and eigenvector centrality. It is designed for use with complex and heterogeneous citation networks such as Scopus. Its computation method is described, and the results of its implementation on the Scopus 2007 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), both generally and within specific scientific areas. Both the SJR indicator and the JIF distributions were found to fit well to a logarithmic law. While the two metrics were strongly correlated, there were also major changes in rank. In addition, two general characteristics were observed. On the one hand, journals’ scientific influence or prestige as computed by the SJR indicator tended to be concentrated in fewer journals than the quantity of citation measured by JIF(3y). And on the other, the distance between the top-ranked journals and the rest tended to be greater in the SJR ranking than in that of the JIF(3y), while the separation between the middle and lower ranked journals tended to be smaller. 相似文献
13.
Joost G. Kircz 《Learned Publishing》2001,14(4):265-272
Discussion about the value of electronic documents is often hampered by starting from what is usual in the paper world and attempting to impose that on an electronic environment. In order to grasp the impact of the current electronic revolution, and formulate a policy for the future, we examine the aims and content of scientific communication. We then critically discuss the recommendations of an International Working Group [see Learned Publishing 2000:13(4) Oct. 251–8], and show the tension between these very reasonable recommendations and the reality of electronic publishing. We conclude that the scientific article will change considerably but that, in its new more composite form as an ensemble of various textual and non-textual components, it will retain many of the current cultural and scientific requirements with regard to editorial, quality and integrity. 相似文献
14.
《Communication monographs》2012,79(3):333-342
This author is in general agreement with the arguments in Bostrom's () essay concerning theory–data interaction. Nevertheless, an examination of the issues raised in the essay from the standpoint of scientific realism lead to two different conclusions. First, the opening rationale is based on a nondefensible distinction between empiricists and interpretivists. Second, debates among paradigms are based on real ontological and epistemological differences, and the scientific realist's view of theory–data interaction accepts the validity of these differences. 相似文献
15.
《Journal of Informetrics》2022,16(2):101259
The relevance of international research collaboration (IRC) in bolstering intellectual capital, increasing embeddedness in networks, and promoting innovation has been acknowledged by scientists and policymakers. However, large–scale studies involving different scientific domains and periods aimed at exploring the factors that influence IRC are missing, which could deepen our understanding of the factors affecting IRC.Based on a novel dataset of 193 countries over three periods, 1990–1999, 2000–2009 and 2010–2018, we have examined the impact of geographical, socioeconomic, political, cultural, intellectual, and excellence distances on the propensity to engage in IRC at the global level, by scientific domain and over time.In general, all the distances considered obstruct IRC, with geographical and cultural distance emerging as the barriers with the highest impact. Two exceptions are worthwhile noting: excellence distance fosters IRC in the Medical & Health Sciences (MHS) and intellectual distance fosters IRC in the Agricultural Sciences (AS).At the global level, the negative impact of socioeconomic, political, and intellectual distances on IRC has increased over time, whereas the negative impact of geographical and cultural distances has decreased. 相似文献
16.
Hu Y.Al W.Hu Z.Hu C. 《中国图书馆学报》2019,(4):104-121
The environment and pattern of scientific research are developing towards digital, open and community-oriented , and influenced by the increasingly diversified data resources and the mature of various methods. All these make the researchers' demand becoming more complicated and deepened. The evolution of scientific research puts forward higher requirement for the data demand management of collegial researchers. We constructed an analytical framework of the influencing factors of data demand management for scientific researchers based on the grounded theory. The interaction of key elements involved in the framework was analyzed , aiming to reveal the influence mechanism of key factors on researchers, data demand management. This research is composed of four parts research problem generation data collection data processing and theory construction. Staged collection method was used in data collection mainly through personal indepth interview and focus group meeting and the data we collected was supplemented and verified by the data and comments in various scientific research platforms. Data standardization and reduction was carried out by the qualitative analysis software Nvivo 12.0 , and the original data was coded in three-level: Open coding , spindle coding and selective coding. The USCT framework we constructed contains 8 main categories: Personal ability characteristic , user perception , personalized service, knowledge service, task context , mobile information context , technology application and technology fit , involving 24 categories and 67 initial concepts. All categories and concepts were generalized into 4 layers: Key layer (user dimension), guarantee layer (service dimension), driven layer (context dimension) and foundation layer (technology dimension). In the subsequent analysis of interactive relationship and internal correlative mechanism between main categories and data demand management we found personal ability characteristic of user personalized service and task context to be the most direct impact factor on data demand management while user perception knowledge service mobile information context technology application and technology fit work in an indirect way. The USCT model framework has several positive effects: 1) it contributes to the construction and perfection of the conceptual system and framework of scientific research data demand management 2 it provides a reliable guiding analysis model for the construction of a science data service platform to promote scientific research and innovation. We innovatively constructed an analysis framework for the influencing factors of data demand management of university researchers. This framework organically integrates " user” (scientific researcher, subject librarian), “services", “context” and “technology” into one system. We attempt to guide and develop the researcher's scientific data needs under their knowledge environment through computer information technology and ultimately guarantee the provision of suitable service. Further demonstration and service practices are needed to verify and perfect the theory. Follow-up studies can take “user-context-service-technology” as the main line for empirical research and explore the external features and internal path mechanisms of data demand management in all domains. 6 figs. 3 tabs. 49 refs. © 2019, Editorial Office of Journal of Library Science in China. All rights reserved. 相似文献
17.
《Journal of Informetrics》2023,17(1):101379
We performed a citation analysis on the Web of Science publications consisting of more than 63 million articles and over a billion citations on 254 subjects from 1981 to 2020. We proposed the Article’s Scientific Prestige (ASP) metric and compared this metric to number of citations (#Cit) and journal grade in measuring the scientific impact of individual articles in the large-scale hierarchical and multi-disciplined citation network. In contrast to #Cit, ASP, that is computed based on the eigenvector centrality, considers both direct and indirect citations, and provides steady-state evaluation cross different disciplines. We found that ASP and #Cit are not aligned for most articles, with a growing mismatch amongst the less cited articles. While both metrics are reliable for evaluating the prestige of articles such as Nobel Prize winning articles, ASP tends to provide more persuasive rankings than #Cit when the articles are not highly cited. The journal grade, that is eventually determined by a few highly cited articles, is unable to properly reflect the scientific impact of individual articles. The number of references and coauthors are less relevant to scientific impact, but subjects do make a difference. 相似文献
18.
《Journal of Informetrics》2019,13(2):593-604
In the past few decades, there has been increasing interest in public-private collaboration, which has motivated lengthy discussion of the implications of collaboration in general, and co-authorship in particular, for the scientific impact of research. However, despite this strong interest in the topic, there is little systematic knowledge on the relation between public-private collaboration and citation impact. This paper examines the citation impact of papers involving public-private collaboration in comparison with academic research papers. We examine the role of a variety of factors, such as international collaboration, the number of co-authors, academic disciplines, and whether the research is mainly basic or applied. We first examine citation impact for a comprehensive dataset covering all Web of Science journal articles with at least one Danish author in the period 1995–2013. Thereafter, we examine whether citation impact for individual researchers differs when collaborating with industry compared to work only involving academic researchers, by looking at a fixed group of researchers that have both engaged in public-private collaborations and university-only publications. For national collaboration papers, we find no significant difference in citation impact for public-only and public-private collaborations. For international collaboration, we observe much higher citation impact for papers involving public-private collaboration. 相似文献
19.
This paper presents the results of a bibliometric study of the scientific publications that are affiliated with Russia and
included in multidisciplinary databases, such as Science Citation Index and Scopus, as well as in the specialized Chemical
Abstracts database, in the period from 2005 to 2009. Major bibliometric indicators, including citation indexes, are explored.
It is shown that the Scopus database contains most of the Russian publications in the period from 2005 to 2009. While a gradual
decrease in the number of peer-reviewed Russian-language journals constitutes a general trend for all three databases, the
Chemical Abstracts database leads in terms of the coverage of these journals. It is found that despite the large number of
translated versions of journals, Russian publications are still significantly late in their coverage by foreign databases,
which has a significant impact on their citation levels. 相似文献
20.
《Library & information science research》2022,44(3):101173
Scientific collaboration is a distinct iteration of information creation as a process. It aims to form willful relationships between scientists to achieve the shared objective of new information creation with the end goal of knowledge production. Findings of an exploratory study investigating barriers that hinder effective scientific collaboration and strategies to cope with these obstacles are reported. A qualitative and interpretive methodology is leveraged to analyze data collected from 14 in-depth interviews with researchers who work in a cross-disciplinary scientific research center. The results indicate that domain disparity and motivation and engagement are the strongest hindrances to effective collaboration. Researchers adopt active and constant learning as an approach to mitigate barriers, lower affective distress, and improve collaboration processes. Malleable boundary objects can facilitate collaboration by adjusting to research aims but may also contort projects, manifesting as a barrier to new information creation. 相似文献