Archives des mots-clés : Altmetrics

Exploring open access coverage of Wikipedia-cited research across the White Rose Universities

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Authors : Andy Tattersall, Nick Sheppard, Thom Blake, Kate O’Neill, Christopher Carroll

The popular online encyclopaedia Wikipedia is an important and influential platform that assists with the communication of science to a global audience. Using data obtained from Altmetric.com and Unpaywall, we looked at research from the White Rose Universities (Sheffield, Leeds and York) that is cited on Wikipedia.

Of that research, we explored what percentage of citations were available open access (OA) and the location of those citations to ascertain whether they were hosted by publishers or within OA repositories.

This article explores the importance of access to OA research within such an important and leading platform as Wikipedia and how well it supports effective scientific communication across society.

URL : Exploring open access coverage of Wikipedia-cited research across the White Rose Universities

DOI : http://doi.org/10.1629/uksg.559

Why does library holding format really matter for book impact assessment?: Modelling the relationship between citations and altmetrics with print and electronic holdings

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Author : Ashraf Maleki

Scholarly books are important outputs in some fields and their many publishing formats seem to introduce opportunities to scrutinize their impact. As there is a growing interest in the publisher-enforced massive collection of ebooks in libraries in the past decade, this study examined how this influences the relationship that library print holdings (LPH), library electronic holdings (LEH) and total library holdings (TLH) have with other metrics.

As a follow up study to a previous research on OCLC library holdings, the relationship between library holdings and twelve other metrics including Scopus Citations, Google Books (GB) Citations, Goodreads engagements, and Altmetric indicators were examined for 119,794 Scopus-indexed book titles across 26 fields.

Present study confirms the weak correlation levels observed between TLH and other indicators in previous studies and contributes additional evidence that print holdings can moderately reflect research, educational and online impact of books consistently more efficient than eholdings and total holdings across fields and over time, except for Mendeley for which eholdings slightly prevailed.

Regression models indicated that along with other dimensions, Google Books Citations frequently best explained LPH (in 14 out of 26 fields), whereas Goodreads User counts were weak, but the best predictor of both LEH and TLH (in 15 fields out of 26), suggesting significant association of eholdings with online uptake of books.

Overall, findings suggest that inclusion of eholdings overrides the more impactful counts of print holdings in Total Library Holdings metric and therefore undermines the statistical results, whilst print holdings has both statistically and theoretically promising underlying assumptions for prediction of impact of books and shows greater promise than the general Library Holding metric for book impact assessment.

Thus, there is a need for a distinction between print and electronic holding counts to be made, otherwise total library holding data need to be interpreted with caution.

URL : Why does library holding format really matter for book impact assessment?: Modelling the relationship between citations and altmetrics with print and electronic holdings

DOI : https://doi.org/10.1007/s11192-021-04239-9

Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

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Authors : Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Nicolas Robinson-Garcia

Altmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions.

This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media.

This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology.

We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.

URL : Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

DOI : https://doi.org/10.1007/s11192-021-04167-8

Who are the users of national open access journals? The case of the Finnish Journal.fi platform

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Authors : Janne Pölönen, Sami Syrjämäki, Antti-Jussi Nygård, Björn Hammarfelt

In this paper we study the diversity of users of open access articles on the Finnish Journal.fi platform. This platform hosts around hundred open access journals from Finland publishing in different fields and mainly Finnish and English languages.

The study is based on an online survey, conducted on 48 journals during Spring 2020, in which visitors were asked to indicate their background and allow their location and download behaviour be tracked. Among 668 survey participants, the two largest groups were students (40%) and researchers (36%), followed by private citizens (8%), other experts (7%) and teachers (5%).

Other identified user categories include journalists, civil servants, entrepreneurs and politicians. While new publications attract a considerable share of the views, there is still a relatively large interest, especially among students, in older materials.

Our findings indicate that Finnish language publications are particularly important for reaching students, citizens, experts and politicians. Thus, open access to publications in national languages is vital for the local relevance and outreach of research.

URL : Who are the users of national open access journals? The case of the Finnish Journal.fi platform

DOI : https://doi.org/10.1002/leap.1405

The Most Widely Disseminated COVID-19-Related Scientific Publications in Online Media: A Bibliometric Analysis of the Top 100 Articles with the Highest Altmetric Attention Scores

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Authors : Ji Yoon Moon, Dae Young Yoon, Ji Hyun Hong, Kyoung Ja Lim, Sora Baek, Young Lan Seo, Eun Joo Yun

The novel coronavirus disease 2019 (COVID-19) is a global pandemic. This study’s aim was to identify and characterize the top 100 COVID-19-related scientific publications, which had received the highest Altmetric Attention Scores (AASs).

Hence, we searched Altmetric Explorer using search terms such as “COVID” or “COVID-19” or “Coronavirus” or “SARS-CoV-2” or “nCoV” and then selected the top 100 articles with the highest AASs. For each article identified, we extracted the following information: the overall AAS, publishing journal, journal impact factor (IF), date of publication, language, country of origin, document type, main topic, and accessibility.

The top 100 articles most frequently were published in journals with high (>10.0) IF (n = 67), were published between March and July 2020 (n = 67), were written in English (n = 100), originated in the United States (n = 45), were original articles (n = 59), dealt with treatment and clinical manifestations (n = 33), and had open access (n = 98).

Our study provides important information pertaining to the dissemination of scientific knowledge about COVID-19 in online media.

URL : The Most Widely Disseminated COVID-19-Related Scientific Publications in Online Media: A Bibliometric Analysis of the Top 100 Articles with the Highest Altmetric Attention Scores

DOI : https://doi.org/10.3390/healthcare9020239

Conjoint analysis of researchers’ hidden preferences for bibliometrics, altmetrics, and usage metrics

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Authors : Steffen Lemke, Athanasios Mazarakis, Isabella Peters

The amount of annually published scholarly articles is growing steadily, as is the number of indicators through which impact of publications is measured. Little is known about how the increasing variety of available metrics affects researchers’ processes of selecting literature to read.

We conducted ranking experiments embedded into an online survey with 247 participating researchers, most from social sciences. Participants completed series of tasks in which they were asked to rank fictitious publications regarding their expected relevance, based on their scores regarding six prototypical metrics.

Through applying logistic regression, cluster analysis, and manual coding of survey answers, we obtained detailed data on how prominent metrics for research impact influence our participants in decisions about which scientific articles to read.

Survey answers revealed a combination of qualitative and quantitative characteristics that researchers consult when selecting literature, while regression analysis showed that among quantitative metrics, citation counts tend to be of highest concern, followed by Journal Impact Factors.

Our results suggest a comparatively favorable view of many researchers on bibliometrics and widespread skepticism toward altmetrics.

The findings underline the importance of equipping researchers with solid knowledge about specific metrics’ limitations, as they seem to play significant roles in researchers’ everyday relevance assessments.

URL : Conjoint analysis of researchers’ hidden preferences for bibliometrics, altmetrics, and usage metrics

DOI : https://doi.org/10.1002/asi.24445

Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics

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Authors : Zhiqi Wang, Yue Chen, Wolfgang Glänzel

In this study we analyse the key driving factors of preprints in enhancing scholarly communication. To this end we use four groups of metrics, one referring to scholarly communication and based on bibliometric indicators (Web of Science and Scopus citations), while the others reflect usage (usage counts in Web of Science), capture (Mendeley readers) and social media attention (Tweets).

Hereby we measure two effects associated with preprint publishing: publication delay and impact. We define and use several indicators to assess the impact of journal articles with previous preprint versions in arXiv. In particular, the indicators measure several times characterizing the process of arXiv preprints publishing and the reviewing process of the journal versions, and the ageing patterns of citations to preprints.

In addition, we compare the observed patterns between preprints and non-OA articles without any previous preprint versions in arXiv. We could observe that the “early-view” and “open-access” effects of preprints contribute to a measurable citation and readership advantage of preprints.

Articles with preprint versions are more likely to be mentioned in social media and have shorter Altmetric attention delay. Usage and capture prove to have only moderate but stronger correlation with citations than Tweets. The different slopes of the regression lines between the different indicators reflect different order of magnitude of usage, capture and citation data.

URL : https://arxiv.org/abs/2011.11940