Measuring Open Access uptake: Data sources, expectations, and misconceptions

In this paper we briefly introduce the concept of Open Access and review the many variants that have been presented in the literature. We then critically examine how OA variants are presented by data source and how they are operationalized in practice. The goal of the paper is to provide a set of guidelines on how to effectively interpret OA information. For this, we compare OA figures reported in different data sources at the institutional and journal level and dig into the potential explanations behind the differences observed on the figures each source provides. Policy highlights: 1) Open Access reporting in bibliometric reports is now possible due the proliferation of data sources which now provide information on the OA status of publications. 2) Unpaywall has become the main primary source on OA metadata for publications for the main bibliometric databases, however there are divergences on how this is reported and showed by each of them. 3) Understanding how OA variants are defined by each source and later operationalized is key to correctly report and interpret Open Access uptak

Towards a "Book Publishers Citation Reports". First approach using the "Book Citation Index"

The absence of books and book chapters in the Web of Science Citation Indexes (SCI, SSCI and A&HCI) has always been considered an important flaw but the Thomson Reuters ‘Book Citation Index’ database was finally available in October of 2010 indexing 29,618 books and 379,082 book chapters. The Book Citation Index opens a new window of opportunities for analyzing Humanities and Social Sciences from a bibliometric point of view. The main objective of this article is to analyze different impact indicators referred to the scientific publishers included in the Book Citation Index for the Social Sciences and Humanities fields during 2006-2011. This way we construct what we have called the ‘Book Publishers Citation Reports’. For this, we present a total of 19 rankings according to the different disciplines in Humanities & Arts and Social Sciences & Law with six indicators for scientific publishers.La ausencia de libros y capítulos de libros en los índices de citas presentes en las bases de datos de la Web of Science ha sido tradicionalmente una de sus más importantes debilidades. Sin embargo, Thomson Reuters en Octubre de 2010 lanzó el Book Citation Index, un nuevo índice de citas que contaba con 29.618 libros y 379.082 capítulos de libros. Este producto ha abierto nuevas posibilidades para el análisis bibliométrico de campos como las Humanidades y las Ciencias Sociales. Precisamente el objetivo principal de esta nota es analizar a través de diferentes indicadores las editoriales de los ámbitos de Humanidades y Ciencias Sociales indexadas en el Book Citation Index durante los años 2006-2011. Más concretamente se ha probado la posibilidad de desarrollar un ranking de editoriales de libros basado en la citación y la producción de las mismas. Para ello se presentan una colección de rankings con seis indicadores bibliométricos para un total de 19 disciplinas científicas

Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Using altmetrics for contextualised mapping of societal impact: From hits to networks

In this article, we develop a method that uses altmetric data to analyse researchers’ interactions, as a way of mapping the contexts of potential societal impact. In the face of an increasing policy demand for quantitative methodologies to assess societal impact, social media data (altmetrics) have been presented as a potential method to capture broader forms of impact. However, current altmetric indicators were extrapolated from traditional citation approaches and are seen as problematic for assessing societal impact. In contrast, established qualitative methodologies for societal impact assessment are based on interaction approaches. These argue that assessment should focus on mapping the contexts in which engagement among researchers and stakeholders takes place, as a means to understand the pathways to societal impact. Following these approaches, we propose to shift the use of altmetric data towards network analysis of researchers and stakeholders. We carry out two case studies, analysing researchers’ networks with Twitter data. The comparison illustrates the potential of Twitter networks to capture disparate degrees of policy engagement. We propose that this mapping method can be used as an input within broader methodologies in case studies of societal impact assessment.Nicolas Robinson-Garcia is currently supported by a Juan de la Cierva-Formación postdoctoral grant from the Spanish Ministry of Economy and Competitiveness

SSH & the city. A network approach for tracing the societal contribution of the social sciences and humanities for local development

Trabajo presentado a la 21st International Conference on Science and Technology Indicators: "Peripheries, frontiers and beyond", celebrada en Valencia (España) del 14 al 16 de septiembre de 2016.Current evaluation frameworks in research policy were designed to address: 1) life and natural sciences, 2) global research communities, and; 3) scientific impact. This is problematic, as they do not adapt well to SSH scholarship, to local interests, or to consider broader societal impacts. This paper discusses three different evaluation frameworks and proposes a methodology to operationalize them and capture societal interactions between social sciences and humanities (SSH) researchers and their local context. To capture such interactions, we propose the use of social media and web-link analysis to identify interactions between academics and local stakeholders. We consider that the power of these tools is not so much on understanding their meaning as ‘acts’ to develop impact or visibility metrics whenever a mention to a research article is made, but as proxies for personal interactions. We offer some examples of the expected social networks we aim at developing for two Spanish cities: Granada and Valencia.Nicolas Robinson-Garcia is supported by a Juan de la Cierva-Formación Fellowship granted by the Spanish Ministry of Economy and Competitiveness.Peer Reviewe

Delaying surgery for patients with a previous SARS-CoV-2 infection

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