The value of research funding for knowledge creation and dissemination: A study of SNSF Research Grants

Authors : Rachel Heyard, Hanna Hottenrott

This study investigates the effect of competitive project funding on researchers’ publication outputs. Using detailed information on applicants at the Swiss National Science Foundation and their proposal evaluations, we employ a case-control design that accounts for individual heterogeneity of researchers and selection into treatment (e.g. funding).

We estimate the impact of the grant award on a set of output indicators measuring the creation of new research results (the number of peer-reviewed articles), its relevance (number of citations and relative citation ratios), as well as its accessibility and dissemination as measured by the publication of preprints and by altmetrics.

The results show that the funding program facilitates the publication and dissemination of additional research amounting to about one additional article in each of the three years following the funding.

The higher citation metrics and altmetrics by funded researchers suggest that impact goes beyond quantity and that funding fosters dissemination and quality.

URL : The value of research funding for knowledge creation and dissemination: A study of SNSF Research Grants

DOI : https://doi.org/10.1057/s41599-021-00891-x

Association between productivity and journal impact across disciplines and career age

Authors : Andre S. Sunahara, Matjaz Perc, Haroldo V. Ribeiro

The association between productivity and impact of scientific production is a long-standing debate in science that remains controversial and poorly understood. Here we present a large-scale analysis of the association between yearly publication numbers and average journal-impact metrics for the Brazilian scientific elite.

We find this association to be discipline-specific, career-age dependent, and similar among researchers with outlier and non-outlier performance. Outlier researchers either outperform in productivity or journal prestige, but they rarely do so in both categories.

Non-outliers also follow this trend and display negative correlations between productivity and journal prestige but with discipline-dependent intensity. Our research indicates that academics are averse to simultaneous changes in their productivity and journal-prestige levels over consecutive career years.

We also find that career patterns concerning productivity and journal prestige are discipline-specific, having in common a raise of productivity with career age for most disciplines and a higher chance of outperforming in journal impact during early career stages.

URL : https://arxiv.org/abs/2108.02920

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

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

Measuring academic entities’ impact by content-based citation analysis in a heterogeneous academic network

Authors : Fang Zhang, Shengli Wu

Evaluating the impact of papers, researchers and venues objectively is of great significance to academia and beyond. This may help researchers, research organizations, and government agencies in various ways, such as helping researchers find valuable papers and authoritative venues and helping research organizations identify good researchers.

A few studies find that rather than treating citations equally, differentiating them is a promising way for impact evaluation of academic entities. However, most of those methods are metadata-based only and do not consider contents of cited and citing papers; while a few content-based methods are not sophisticated, and further improvement is possible.

In this paper, we study the citation relationships between entities by content-based approaches. Especially, an ensemble learning method is used to classify citations into different strength types, and a word-embedding based method is used to estimate topical similarity of the citing and cited papers.

A heterogeneous network is constructed with the weighted citation links and several other features. Based on the heterogeneous network that consists of three types of entities, we apply an iterative PageRank-like method to rank the impact of papers, authors and venues at the same time through mutual reinforcement.

Experiments are conducted on an ACL dataset, and the results demonstrate that our method greatly outperforms state-of-the art competitors in improving ranking effectiveness of papers, authors and venues, as well as in being robust against malicious manipulation of citations.

URL : Measuring academic entities’ impact by content‑based citation analysis in a heterogeneous academic network

DOI : https://doi.org/10.1007/s11192-021-04063-1

Article Processing Charges based publications: to which extent the price explains scientific impact?

Authors : Abdelghani Maddi, David Sapinho

The present study aims to analyze relationship between Citations Normalized Score (NCS) of scientific publications and Article Processing Charges (APCs) amounts of Gold Open access publications.

To do so, we use APCs information provided by OpenAPC database and citations scores of publications in the Web of Science database (WoS). Database covers the period from 2006 to 2019 with 83,752 articles published in 4751 journals belonging to 267 distinct publishers.

Results show that contrary to this belief, paying dearly does not necessarily increase the impact of publications. First, large publishers with high impact are not the most expensive.

Second, publishers with the highest APCs are not necessarily the best in terms of impact. Correlation between APCs and impact is moderate. Otherwise, in the econometric analysis we have shown that publication quality is strongly determined by journal quality in which it is published. International collaboration also plays an important role in citations score.

URL : https://arxiv.org/abs/2107.07348

Researchers’ attitudes towards the h-index on Twitter 2007–2020: criticism and acceptance

Authors : Mike Thelwall, Kayvan Kousha

The h-index is an indicator of the scientific impact of an academic publishing career. Its hybrid publishing/citation nature and inherent bias against younger researchers, women, people in low resourced countries, and those not prioritizing publishing arguably give it little value for most formal and informal research evaluations.

Nevertheless, it is well-known by academics, used in some promotion decisions, and is prominent in bibliometric databases, such as Google Scholar. In the context of this apparent conflict, it is important to understand researchers’ attitudes towards the h-index.

This article used public tweets in English to analyse how scholars discuss the h-index in public: is it mentioned, are tweets about it positive or negative, and has interest decreased since its shortcomings were exposed?

The January 2021 Twitter Academic Research initiative was harnessed to download all English tweets mentioning the h-index from the 2006 start of Twitter until the end of 2020. The results showed a constantly increasing number of tweets.

Whilst the most popular tweets unapologetically used the h-index as an indicator of research performance, 28.5% of tweets were critical of its simplistic nature and others joked about it (8%). The results suggest that interest in the h-index is still increasing online despite scientists willing to evaluate the h-index in public tending to be critical.

Nevertheless, in limited situations it may be effective at succinctly conveying the message that a researcher has had a successful publishing career.

DOI : https://doi.org/10.1007/s11192-021-03961-8

Open access book usage data – how close is COUNTER to the other kind?

Author : Ronald Snijder

In April 2020, the OAPEN Library moved to a new platform, based on DSpace 6. During the same period, IRUS-UK started working on the deployment of Release 5 of the COUNTER Code of Practice (R5). This is, therefore, a good moment to compare two widely used usage metrics – R5 and Google Analytics (GA).

This article discusses the download data of close to 11,000 books and chapters from the OAPEN Library, from the period 15 April 2020 to 31 July 2020. When a book or chapter is downloaded, it is logged by GA and at the same time a signal is sent to IRUS-UK.

This results in two datasets: the monthly downloads measured in GA and the usage reported by R5, also clustered by month. The number of downloads reported by GA is considerably larger than R5. The total number of downloads in GA for the period is over 3.6 million.

In contrast, the amount reported by R5 is 1.5 million, around 400,000 downloads per month. Contrasting R5 and GA data on a country-by-country basis shows significant differences. GA lists more than five times the number of downloads for several countries, although the totals for other countries are about the same.

When looking at individual tiles, of the 500 highest ranked titles in GA that are also part of the 1,000 highest ranked titles in R5, only 6% of the titles are relatively close together. The choice of metric service has considerable consequences on what is reported.

Thus, drawing conclusions about the results should be done with care. One metric is not better than the other, but we should be open about the choices made. After all, open access book metrics are complicated, and we can only benefit from clarity.

URL : Open access book usage data – how close is COUNTER to the other kind?

DOI : http://doi.org/10.1629/uksg.539