The rising trend in authorship

Aboukhalil, Robert

doi:10.15200/winn.141832.26907

Cited by 42 publications

(44 citation statements)

References 2 publications

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“…Histogram of number of authors in the PLoS ONE dataset reveals a irregular distribution: most of the papers includes the collaboration of 2-9 authors. Interestingly, we also observe a significant number of papers including more than 10 authors, which is in accordance with recent reported trends [27]. To investigate how individuals contributions varies in papers, we used the effective number of authors (N ) as a measure of variability, as defined in Section II B.…”

Section: Resultssupporting

confidence: 88%

Patterns of authors contribution in scientific manuscripts

Corrêa

Silva

Costa

et al. 2017

Journal of Informetrics

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Science is becoming increasingly more interdisciplinary, giving rise to more diversity in the areas of expertise within research labs and groups. This also have brought changes to the role researchers in scientific works. As a consequence, multi-authored scientific papers have now became a norm for high quality research. Unfortunately, such a phenomenon induces bias to existing metrics employed to evaluate the productivity and success of researchers. While some metrics were adapted to account for the rank of authors in a paper, many journals are now requiring a description of the specific roles of each author in a publication. Surprisingly, the investigation of the relationship between the rank of authors and their contributions has been limited to a few studies. By analyzing such kind of data, here we show, quantitatively, that the regularity in the authorship contributions decreases with the number of authors in a paper. Furthermore, we found that the rank of authors and their roles in papers follows three general patterns according to the nature of their contributions, such as writing, data analysis, and the conduction of experiments. This was accomplished by collecting and analyzing the data retrieved from PLoS ONE and by devising an entropy-based measurement to quantify the effective number of authors in a paper according to their contributions. The analysis of such patterns confirms that some aspects of the author ranking are in accordance with the expected convention, such as the fact that the first and last authors are more likely to contribute more in a scientific work. Conversely, such analysis also revealed that authors in the intermediary positions of the rank contribute more in certain specific roles, such as the task of collecting data. This indicates that the an unbiased evaluation of researchers must take into account the distinct types of scientific contributions

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Section: Resultssupporting

confidence: 88%

Patterns of authors contribution in scientific manuscripts

Corrêa

Silva

Costa

et al. 2017

Journal of Informetrics

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“…We set these thresholds in the context of a large‐scale study (>20 million papers) of authorship in scientific papers (Aboukhalil ). As defined here, sole authors, small teams, and large teams are recognizable in the histogram of author numbers presented by Aboukhalil (). We ran all time‐to‐event analyses with the R packages survival (Therneau & Grambsch ; Therneau ) and survminer (Kassambara & Kosinski ).…”

Section: Methodsmentioning

confidence: 99%

From conference abstract to publication in the conservation science literature

Arregoitia

González‐Suárez

2019

Conservation Biology

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Every 2 years, the conservation community comes together at The Society for Conservation Biology's International Congress for Conservation Biology (ICCB) to share new developments in conservation science and practice. Publication of findings presented at conferences in scientific journals adds to the permanent record and helps increase the potential impact of the work presented. However, quantitative research on publication rates for meetings relevant to conservation is lacking. For the 25th ICCB, (Auckland, New Zealand in 2011), we examined study publication rates and presenter demographics, recorded titles, number of authors, presenter affiliations, gender, country of the study region, publication status, and elapsed time between presentation and publication. Of the 980 contributions (782 talks and 198 posters), 587 (60%) were published as peer‐reviewed journal articles or book chapters. Mean time to publication was 13.7 months for all presentation abstracts and 21.3 months excluding abstracts with corresponding articles that were published before the meeting. The gender breakdown of presenters was almost even (53% male, 47% female), but representation of the countries where the presenting authors were based was skewed. The political units with the most contributions were by far the United States, Australia, New Zealand, and the United Kingdom. Presenters based in 16 different English‐speaking countries made up 74% of the total sample, but this did not influence the likelihood of their abstract leading to a publication. Examination of conference presenters and publication of their presentations is useful to identify biases and potential challenges that need to be addressed to make conference communications permanent and increase their reach beyond conference attendees.

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“…Here often people turn to the average number of authors as a measure (e.g. Aboukhalil 2014). While this is a useful statistics, it is heavily biased towards the few papers with an extreme number of authors.…”

Section: Data Processingmentioning

confidence: 99%

Knowledge discovery through text-based similarity searches for astronomy literature

Kerzendorf

2019

J Astrophys Astron

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The increase in the number of researchers coupled with the ease of publishing and distribution of scientific papers (due to technological advancements) has resulted in a dramatic increase in astronomy literature. This has likely led to the predicament that the body of the literature is too large for traditional human consumption and that related and crucial knowledge is not discovered by researchers. In addition to the increased production of astronomical literature, recent decades have also brought several advancements in computational linguistics. Especially, the machine-aided processing of literature dissemination might make it possible to convert this stream of papers into a coherent knowledge set. In this paper, we present the application of computational linguistics techniques to astronomy literature. In particular, we developed a tool that will find similar articles purely based on text content from an input paper. We find that our technique performs robustly in comparison with other tools recommending articles given a reference paper (known as recommender system). Our novel tool shows the great power in combining computational linguistics with astronomy literature and suggests that additional research in this endeavor will likely produce even better tools that will help researchers cope with the vast amounts of knowledge being produced.

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The rising trend in authorship

Cited by 42 publications

References 2 publications

Patterns of authors contribution in scientific manuscripts

Patterns of authors contribution in scientific manuscripts

From conference abstract to publication in the conservation science literature

Knowledge discovery through text-based similarity searches for astronomy literature

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