Improving fitness: Mapping research priorities against societal needs on obesity

Cassi, Lorenzo; Lahatte, Agénor; Ràfols, Ismael; Sautier, Pierre; Turckheim, Élisabeth de

doi:10.1016/j.joi.2017.09.010

Cited by 42 publications

(36 citation statements)

References 30 publications

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“…Science mapping has been extensively used in the context of research evaluation for identifying research priorities (Cassi et al 2017), to aid governance of specific areas (Rotolo et al 2014) or to profile institutions' research portfolio (Rafols, Porter and Leydesdorff 2010). The expansion of science mapping applications is largely derived to the free availability of academic software and tools that are constantly maintained and updated (Cobo et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Mapping social media attention in Microbiology: identifying main topics and actors

Robinson-García

Arroyo-Machado

Torres‐Salinas

2019

FEMS Microbiology Letters

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One sentence summary: The aim of this paper is to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. AbstractThis paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. We combine data from Web of Science and Altmetric.com, a platform which retrieves mentions to scientific literature from social media and other non-academic communication outlets. We focus on the dissemination of microbial publications in Twitter, news media and policy briefs. A two-mode network of social accounts shows distinctive areas of activity. We identify a cluster of papers mentioned solely by regional news media. A central area of the network is formed by papers discussed by the three outlets. A large portion of the network is driven by Twitter activity. When analyzing top actors contributing to such network, we observe that more than half of the Twitter accounts are bots, mentioning 32% of the documents in our dataset. Within news media outlets, there is a predominance of popular science outlets. With regard to policy briefs, both international and national bodies are represented. Finally, our topic analysis shows that the thematic focus of papers mentioned varies by outlet. While news media cover the wider range of topics, policy briefs are focused on translational medicine, and bacterial outbreaks.

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Section: Introductionmentioning

confidence: 99%

Mapping social media attention in Microbiology: identifying main topics and actors

Robinson-García

Arroyo-Machado

Torres‐Salinas

2019

FEMS Microbiology Letters

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“…There is a clear agreement between the results of both mappings that it is the themes of food environment and childhood obesity that connect the most thematic blocks and field-specific approaches (though the multicluster view picture school-related issues as constantly on the surface, for key concepts there seems to be a shift of emphasis towards family-related factors, such as the role of parents). The topics emerged in our mapping are also comparable to those identified in Cassi et al (2017) as "social issues"/"social environment", which is fairly acceptable for studies with a policy focus. On the other hand, there seems to be an increasing contribution from individual health-related fields, with closer proximity to the clinical sciences, viz.…”

Section: Discussionmentioning

confidence: 51%

“…The topical organization of (NHLBI-) funded projects and the productivity and impact of individual topics was the key issue for Nicastro et al (2016). However, probably the most extensive approach, being also the most relevant to our present work, has been provided in a series of recent papers best exemplified by Cassi et al (2017). The main objective of this work was a large-scale bibliometric mapping of the intellectual structure of obesity research in general, and contrasting it with the societal demands, also formalized into a topic map (based on European parliament questions) so that the concordances between the two maps could be analyzed.…”

Section: Related Work On Obesitymentioning

confidence: 99%

Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps

et al. 2019

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Mapping the intellectual structure and dynamics of complex, multidisciplinary domains has long been a challenging task for bibliometrics. Research subjects with outstanding social relevance are typically of this sort, being multifaceted and requiring a synthesis of various field-specific perspectives. Among such subjects, our work addresses policy-related research on obesity, and aims to uncover how this multilevel issue is represented in policy studies through its dense thematic interrelations, and at the interfaces of various research areas participating in the discourse. In doing so, we propose an analytic framework combining so-called hybrid methods of science mapping with the (traditional) use of alluvial diagrams, resulting in what we refer to as "multicluster topics" and "interdisciplinarity maps". Therefore, the contribution of this paper can be considered both at the subject and at the methodological level.

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“…For public health concerns like obesity, the alignment/misalignment between the research community and societal interests has been explored. Cassi et al (2017) explored societal demands through the questions received by the European Parliament between 2009-2014 and found that a few topics identified by the public, such as sugar and food economy, are ignored by the scientific community and also that obesity research mainly focuses on biomedical science while largely neglecting socio-economic factors (Cassi et al, 2017). Similarly, misalignments were found between public health issues measured through disease burden rate and the amount of research done on the same issues.…”

Section: Research Alignment With Public Needsmentioning

confidence: 99%

Using a diabetes discussion forum and Wikipedia to detect the alignment of public interests and the research literature

Didegah

Ghaseminik

Alperin

2018

Preprint

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BackgroundDiabetes is a chronic disease that affects millions of people worldwide. It is therefore unsurprising that there is a high volume of public discussions, resources, and research tackling various aspects of the disease. Over the last decade, more than hundred thousand research articles have been published by researchers and countless of online discussions have taken place on various online platforms. This study is an attempt to identify the areas of public interest, related to diabetes, by looking at online discussion forums and to evaluate their relationship to pages about diabetes found on Wikipedia and to the academic research about the topic. The main aim is to investigate the extent to which researchers are responding to the public's interests and concerns, and to the level of uptake of the research topics in the public sphere. Methodology/Principal findingsTo detect public interests and concerns in diabetes, we collected posts on a popular diabetes discussion forum (DiabeticConnect) and pages (articles) about diabetes published in Wikipedia. We also downloaded the titles and abstracts of research articles about diabetes from the Scopus database, all between 2008 and 2016. Tags assigned to each post in the discussion forum were used along with the post itself to compute a Labeled Latent Dirichlet Allocation (LLDA) model, which was then used to classify the Wikipedia pages and research articles. The resulting classifications were then used to compare the prevalence of the topics found in the discussion forum with those of the other two sources. The results show that while research articles and Wikipedia pages about diabetes focus on diabetes testing, treatments, and disease control, the public forum discussions focus on Type 2 diabetes, emotional support, and proper diet for diabetic patients. However, for some other topics there was an alignment in the relative rise and fall of interest across the three platforms. Conclusions/SignificanceThe alignment and misalignment in the changes of relative interest over the various topics is evidence that the LLDA modelling can be useful for comparing a public corpus, like a diabetes forum, and an academic one, like research titles and abstracts. The success of using LLDA to classify research articles based on the tags assigned to posts in a public discussion forum shows that this a promising method for better understanding how the scientific community responds to public interests and needs, and, on the flip side, how the public takes up the language and topics discussed by the academic community.

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Improving fitness: Mapping research priorities against societal needs on obesity

Cited by 42 publications

References 30 publications

Mapping social media attention in Microbiology: identifying main topics and actors

Mapping social media attention in Microbiology: identifying main topics and actors

Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps

Using a diabetes discussion forum and Wikipedia to detect the alignment of public interests and the research literature

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