Étiquette : Citation analysis

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The citation advantage of linking publications to research data

Authors : Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie Whitaker, Barbara McGillivray

Efforts to make research results open and reproducible are increasingly reflected by journal policies encouraging or mandating authors to provide data availability statements.

As a consequence of this, there has been a strong uptake of data availability statements in recent literature. Nevertheless, it is still unclear what proportion of these statements actually contain well-formed links to data, for example via a URL or permanent identifier, and if there is an added value in providing them.

We consider 531,889 journal articles published by PLOS and BMC which are part of the PubMed Open Access collection, categorize their data availability statements according to their content and analyze the citation advantage of different statement categories via regression.

We find that, following mandated publisher policies, data availability statements have become common by now, yet statements containing a link to a repository are still just a fraction of the total.

We also find that articles with these statements, in particular, can have up to 25.36% higher citation impact on average: an encouraging result for all publishers and authors who make the effort of sharing their data. All our data and code are made available in order to reproduce and extend our results.

URL : https://arxiv.org/abs/1907.02565

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Highly cited references in PLOS ONE and their in-text usage over time

Authors : Wolfgang Otto, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, Vivek Kumar Singh

In this article, we describe highly cited publications in a PLOS ONE full-text corpus. For these publications, we analyse the citation contexts concerning their position in the text and their age at the time of citing.

By selecting the perspective of highly cited papers, we can distinguish them based on the context during citation even if we do not have any other information source or metrics.

We describe the top cited references based on how, when and in which context they are cited. The focus of this study is on a time perspective to explain the nature of the reception of highly cited papers.

We have found that these references are distinguishable by the IMRaD sections of their citation. And further, we can show that the section usage of highly cited papers is time-dependent.

The longer the citation interval, the higher the probability that a reference is cited in a method section.

URL : https://arxiv.org/abs/1903.11693

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Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations

Author : Juan Miguel Campanario

Journal self-citations may be increased artificially to inflate a journal’s scientometric indicators. The aim of this study was to identify possible mechanisms of change in a cohort of journals that rose from the fourth (Q4) to the first quartile (Q1) over six years or less in Journal Citation Reports (JCR), and the role of journal self-citations in these changes.

A total of 51 different journals sampled from all JCR Science Citation Index (SCI) subject categories improved their rank position from Q4 in 2009 to Q1 in any year from 2010 to 2015. I identified changes in the numerator or denominator of the Journal Impact Factor (JIF) that were involved in each year-to-year transition.

The main mechanism of change was the increase in the number of citations used to compute the JIF. The effect of journal self-citations in the increase of the JIF was studied. The main conclusion is that there was no evidence of widespread JIF manipulation through the overuse of journal self-citations.

URL : Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations

DOI : https://doi.org/10.3390/publications6040047

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On the Heterogeneous Distributions in Paper Citations

Authors : Jinhyuk Yun, Sejung Ahn, June Young Lee

Academic papers have been the protagonists in disseminating expertise. Naturally, paper citation pattern analysis is an efficient and essential way of investigating the knowledge structure of science and technology.

For decades, it has been observed that citation of scientific literature follows a heterogeneous and heavy-tailed distribution, and many of them suggest a power-law distribution, log-normal distribution, and related distributions.

However, many studies are limited to small-scale approaches; therefore, it is hard to generalize. To overcome this problem, we investigate 21 years of citation evolution through a systematic analysis of the entire citation history of 42,423,644 scientific literatures published from 1996 to 2016 and contained in SCOPUS.

We tested six candidate distributions for the scientific literature in three distinct levels of Scimago Journal & Country Rank (SJR) classification scheme. First, we observe that the raw number of annual citation acquisitions tends to follow the log-normal distribution for all disciplines, except for the first year of the publication.

We also find significant disparity between the yearly acquired citation number among the journals, which suggests that it is essential to remove the citation surplus inherited from the prestige of the journals.

Our simple method for separating the citation preference of an individual article from the inherited citation of the journals reveals an unexpected regularity in the normalized annual acquisitions of citations across the entire field of science.

Specifically, the normalized annual citation acquisitions have power-law probability distributions with an exponential cut-off of the exponents around 2.3, regardless of its publication and citation year.

Our results imply that journal reputation has a substantial long-term impact on the citation.

URL : https://arxiv.org/abs/1810.08809

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Do funding applications where peer reviewers disagree have higher citations? A cross-sectional study

Authors : Adrian G Barnett, Scott R. Glisson, Stephen Gallo

Background

Decisions about which applications to fund are generally based on the mean scores of a panel of peer reviewers. As well as the mean, a large disagreement between peer reviewers may also be worth considering, as it may indicate a high-risk application with a high return.

Methods

We examined the peer reviewers’ scores for 227 funded applications submitted to the American Institute of Biological Sciences between 1999 and 2006. We examined the mean score and two measures of reviewer disagreement: the standard deviation and range.

The outcome variable was the relative citation ratio, which is the number of citations from all publications associated with the application, standardised by field and publication year.

Results

There was a clear increase in relative citations for applications with a better mean. There was no association between relative citations and either of the two measures of disagreement.

Conclusions

We found no evidence that reviewer disagreement was able to identify applications with a higher than average return. However, this is the first study to empirically examine this association, and it would be useful to examine whether reviewer disagreement is associated with research impact in other funding schemes and in larger sample sizes.

URL : Do funding applications where peer reviewers disagree have higher citations? A cross-sectional study

DOI : http://dx.doi.org/10.12688/f1000research.15479.2

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Plurality in multi-disciplinary research: multiple institutional affiliations are associated with increased citations

Authors : Paul Sanfilippo​, Alex W. Hewitt, David A. Mackey

Background

The institutional affiliations and associated collaborative networks that scientists foster during their research careers are salient in the production of high-quality science. The phenomenon of multiple institutional affiliations and its relationship to research output remains relatively unexplored in the literature.

Methods

We examined 27,612 scientific articles, modelling the normalized citation counts received against the number of authors and affiliations held.

Results

In agreement with previous research, we found that teamwork is an important factor in high impact papers, with average citations received increasing concordant with the number of co-authors listed.

For articles with more than five co-authors, we noted an increase in average citations received when authors with more than one institutional affiliation contributed to the research.

Discussion

Multiple author affiliations may play a positive role in the production of high-impact science. This increased researcher mobility should be viewed by institutional boards as meritorious in the pursuit of scientific discovery.

URL : Plurality in multi-disciplinary research: multiple institutional affiliations are associated with increased citations

DOI : https://doi.org/10.7717/peerj.5664

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Collaboration Diversity and Scientific Impact

Authors : Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang

The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful research than that pursued individually.

However, understanding of how the diversity of a collaborative team influences the production of knowledge and innovation is sorely lacking. Here, we study this question by breaking down the process of scientific collaboration of 32.9 million papers over the last five decades.

We find that the probability of producing a top-cited publication increases as a function of the diversity of a team of collaborators—namely, the distinct number of institutions represented by the team.

We discover striking phenomena where a smaller, yet more diverse team is more likely to generate highly innovative work than a relatively larger team within one institution.

We demonstrate that the synergy of collaboration diversity is universal across different generations, research fields, and tiers of institutions and individual authors.

Our findings suggest that collaboration diversity strongly and positively correlates with the production of scientific innovation, giving rise to the potential revolution of the policies used by funding agencies and authorities to fund research projects, and broadly the principles used to organize teams, organizations, and societies.

URL : https://arxiv.org/abs/1806.03694