Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Narrative Style Influences Citation Frequency in Climate Change Science.

ABSTRACT: Peer-reviewed publications focusing on climate change are growing exponentially with the consequence that the uptake and influence of individual papers varies greatly. Here, we derive metrics of narrativity from psychology and literary theory, and use these metrics to test the hypothesis that more narrative climate change writing is more likely to be influential, using citation frequency as a proxy for influence. From a sample of 732 scientific abstracts drawn from the climate change literature, we find that articles with more narrative abstracts are cited more often. This effect is closely associated with journal identity: higher-impact journals tend to feature more narrative articles, and these articles tend to be cited more often. These results suggest that writing in a more narrative style increases the uptake and influence of articles in climate literature, and perhaps in scientific literature more broadly.

SUBMITTER: Hillier A

PROVIDER: S-EPMC5158318 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Narrative Style Influences Citation Frequency in Climate Change Science.

Hillier Ann A Kelly Ryan P RP Klinger Terrie T

PloS one 20161215 12

Peer-reviewed publications focusing on climate change are growing exponentially with the consequence that the uptake and influence of individual papers varies greatly. Here, we derive metrics of narrativity from psychology and literary theory, and use these metrics to test the hypothesis that more narrative climate change writing is more likely to be influential, using citation frequency as a proxy for influence. From a sample of 732 scientific abstracts drawn from the climate change literature, ...[more]

PMID: 27978538

Similar Datasets

Climate change

Project description:Microbial communities of boreal peatlands under climate change conditions: Does community structure indicate the dynamics of ecosystem function?

| PRJEB25233 | ENA

Cenozoic climate change influences mammalian evolutionary dynamics.

Project description:Global climate change is having profound impacts on the natural world. However, climate influence on faunal dynamics at macroevolutionary scales remains poorly understood. In this paper we investigate the influence of climate over deep time on the diversity patterns of Cenozoic North American mammals. We use factor analysis to identify temporally correlated assemblages of taxa, or major evolutionary faunas that we can then study in relation to climatic change over the past 65 million years. These taxa can be grouped into six consecutive faunal associations that show some correspondence with the qualitative mammalian chronofaunas of previous workers. We also show that the diversity pattern of most of these chronofaunas can be correlated with the stacked deep-sea benthic foraminiferal oxygen isotope (δ(18)O) curve, which strongly suggests climatic forcing of faunal dynamics over a large macroevolutionary timescale. This study demonstrates the profound influence of climate on the diversity patterns of North American terrestrial mammals over the Cenozoic.

| S-EPMC3271923 | biostudies-literature

Climate Change Influences Brain Size in Humans.

Project description:Brain size evolution in hominins constitutes a crucial evolutionary trend, yet the underlying mechanisms behind those changes are not well understood. Here, climate change is considered as an environmental factor using multiple paleoclimate records testing temperature, humidity, and precipitation against changes to brain size in 298 Homo specimens over the past fifty thousand years. Across regional and global paleoclimate records, brain size in Homo averaged significantly lower during periods of climate warming as compared to cooler periods. Geological epochs displayed similar patterns, with Holocene warming periods comprising significantly smaller brained individuals as compared to those living during glacial periods at the end of the Late Pleistocene. Testing spatiotemporal patterns, the adaptive response appears to have started roughly fifteen thousand years ago and may persist into modern times. To a smaller degree, humidity and precipitation levels were also predictive of brain size, with arid periods associated with greater brain size in Homo. The findings suggest an adaptive response to climate change in human brain size that is driven by natural selection in response to environmental stress.

| S-EPMC10064386 | biostudies-literature

In science we trust? Public trust in Intergovernmental Panel on Climate Change projections and accepting anthropogenic climate change.

Project description:One barrier to action on climate change is public trust in climate science, and projections made by climate scientists. However, climate science projections are rarely measured in public surveys. We designed survey questions based on two Intergovernmental Panel on Climate Change projections regarding global warming and coral reef decline. We gauge Australians' trust in Intergovernmental Panel on Climate Change projections, and explore how trust in climate science is associated with accepting anthropogenic climate change. A slim majority of Australian adults trust Intergovernmental Panel on Climate Change projections, with trust correlated positively with accepting anthropogenic climate change. While partisan divisions are extant in accepting anthropogenic climate change, partisan influences are attenuated substantially after controlling for trust in Intergovernmental Panel on Climate Change projections, as trust in climate science mediates the influence of partisanship on the acceptance of anthropogenic climate change. A minority of those who accept anthropogenic climate change have low trust in Intergovernmental Panel on Climate Change projections, viewing scientists' computer models as unreliable, or believing climate scientists benefit from overstating the impact of climate change.

| S-EPMC10363956 | biostudies-literature

Coastal heritage, global climate change, public engagement, and citizen science.

Project description:Climate change is threatening an uncalculated number of archaeological sites globally, totaling perhaps hundreds of thousands of culturally and paleoenvironmentally significant resources. As with all archaeological sites, they provide evidence of humanity's past and help us understand our place in the present world. Coastal sites, clustered at the water's edge, are already experiencing some of the most dramatic damage due to anthropogenic climate change, and the situation is predicted to worsen in the future. In the face of catastrophic loss, organizations around the world are developing new ways of working with this threatened coastal resource. This paper uses three examples from Scotland, Florida, and Maine to highlight how new partnerships and citizen science approaches are building communities of practice to better manage threatened coastal heritage. It compares methods on either side of the Atlantic and highlights challenges and solutions. The approaches are applicable to the increasing number of heritage sites everywhere at risk from climate change; the study of coastal sites thus helps society prepare for climate change impacts to heritage worldwide.

| S-EPMC7165427 | biostudies-literature

Science and Culture: Arctic photographers bring climate change into focus.

Project description: Not available

| S-EPMC5576850 | biostudies-literature

Quantifying uncertainty in climate change science through empirical information theory.

Project description:Quantifying the uncertainty for the present climate and the predictions of climate change in the suite of imperfect Atmosphere Ocean Science (AOS) computer models is a central issue in climate change science. Here, a systematic approach to these issues with firm mathematical underpinning is developed through empirical information theory. An information metric to quantify AOS model errors in the climate is proposed here which incorporates both coarse-grained mean model errors as well as covariance ratios in a transformation invariant fashion. The subtle behavior of model errors with this information metric is quantified in an instructive statistically exactly solvable test model with direct relevance to climate change science including the prototype behavior of tracer gases such as CO(2). Formulas for identifying the most sensitive climate change directions using statistics of the present climate or an AOS model approximation are developed here; these formulas just involve finding the eigenvector associated with the largest eigenvalue of a quadratic form computed through suitable unperturbed climate statistics. These climate change concepts are illustrated on a statistically exactly solvable one-dimensional stochastic model with relevance for low frequency variability of the atmosphere. Viable algorithms for implementation of these concepts are discussed throughout the paper.

| S-EPMC2930559 | biostudies-literature

A citation study of earth science projects in citizen science.

Project description:A citation study of a sample of earth science projects in citizen science from the FedCats Catalog was undertaken to assess whether citizen science projects are as productive and as impactful as conventional research that does not employ volunteer participation as a part of their data gathering and analysis protocols. From the 783 peer-reviewed papers produced by 48 projects identified from project bibliographies, 12,380 citations were identified using the Web of Science archive and their citation search engine to the end of 2018. Various conventional productivity and impact measures were applied including the Impact Factor, H and M-indices, and entry into the Top-1000 papers in cited research. The earth science projects tend to under-perform in terms of Impact Factor (IF = 14-20) and the M-index (M<0.5) but perform at the level of a 'tenured professor' with <H> = 23. When compared to non-citizen science research in general, there is a ten-fold higher probability of the earth science papers reaching the Top-1000 threshold of most-cited papers in natural science research. Some of the reasons for the lower performance by some indicators may have to do with the down-turn in published papers after 2010 for the majority of the earth science projects, which itself could be related to the fact that 52% of these projects only became operational after 2010 compared to the more successful 'Top-3' projects, whose impacts resemble the general population of non-citizen science research.

| S-EPMC7365449 | biostudies-literature

How Climate Change Science Is Reflected in People's Minds. A Cross-Country Study on People's Perceptions of Climate Change.

Project description:The way people perceive climate change scientific evidence becomes relevant in motivating or demotivating their climate actions. Climate change is one of the most publicized topics globally, and media has become an important "validator" of science. Therefore, science has become more exposed to criticism. Even when most scientists, decision makers, and laypeople agree on the robust evidence of climate science, there is still room for disagreement. The main aim of this paper is to reveal how climate change knowledge generated by science is perceived by the laypeople and to observe a possible gap between them. The study answered two questions "What are the main contrasting climate change topics in the scientific literature?" and "What are Romanian and Belgian participants' perceptions of these topics?". A qualitative approach was chosen for data analysis, using Quirkos software. The present cross-country study showed commonalities and differences of views between the two groups of participants regarding six climate change topics. Divergent perceptions among Belgians and Romanians came out, for example, within the theme "The heroes, villains, and victims of climate change." Thus, whereas Belgians considered all people, including themselves, responsible for climate change, Romanians blamed mostly others, such as big companies, governments, and consumers. Additionally, both groups stated that climate change existed, but contrary to Belgians, Romanians voiced that climate change was often used as an exaggerated and politicized topic. The analysis revealed that perceptions about climate change, its causes, and its impacts are social constructs with a high degree of variability between and within the two national groups. The study argued that the cleavages between scientific literature and people's views were blind spots on which a participatory approach was needed to better cope with climate change challenges.

| S-EPMC8998260 | biostudies-literature

Opinions and knowledge about climate change science in high school students.

Project description:This study investigates the influence of knowledge on opinions about climate change in the emerging adults' age group (16-17 years). Furthermore, the effects of a lecture in climate change science on knowledge and opinions were assessed. A survey was conducted in Austria and Denmark on 188 students in national and international schools before and after a lecture in climate change science. The results show that knowledge about climate change science significantly affects opinions about climate change. Students with a higher number of correct answers are more likely to have the opinion that humans are causing climate change and that both individuals and governments are responsible for addressing climate change. The lecture in climate change science significantly improved knowledge development but did not affect opinions. Knowledge was improved by 11 % after the lecture. However, the percentage of correct answers was still below 60 % indicating an urgent need for improving climate change science education.

| S-EPMC3758816 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data