Climate#

Does the style of writing impact the number of citations that a climate change paper receives?

See the paper for details on how the data was collected. This data set was created using the raw data from the article together with the R script provided by the authors. From the authors: “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.”

Initialization#

library(fosdata)
data <- fosdata::climate

Accessing fields#

data <- fosdata::climate
binary_setting <- data$binary_setting # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

webR + fosdata Test

Console
Plot

    
No plot generated yet.
scatterplot

LLM instructions#

If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.

LLM Instructions
The fosdata::climate dataset containing the following fields:

fields[19]{name,type,values}:
  appeal,numeric,n/a
  conjunctions,numeric,n/a
  connectivity,numeric,n/a
  narrative_perspective,numeric,n/a
  sensory,numeric,n/a
  setting,numeric,n/a
  citations,numeric,n/a
  year,numeric,n/a
  journal,character,n/a
  number_of_authors,numeric,n/a
  abstract_length,integer,n/a
  abstract_number,integer,n/a
  normalized_citations,numeric,n/a
  normalized_sensory,numeric,n/a
  normalized_conjunctions,numeric,n/a
  normalized_connectivity,numeric,n/a
  binary_setting,numeric,n/a
  binary_appeal,numeric,n/a
  impact,numeric,n/a

Fields#

Name Description Type Min Max Values
appeal the moral or evaluative orientation of a narrative. Does the text makes an explicit appeal to the reader or a clear recommendation for action numeric - 1 -
conjunctions the number of times that conjunctions signifying cause and effect, contrast, or temporal ordering appeared in the text. numeric 0.25 4.8333 -
connectivity he number of times that words or phrases from one sentence were used to create an explicit link to the sentence immediately preceding it numeric 0.25 7.1667 -
narrative_perspective whether or not the narrator referred to themselves in the text (e.g., through use of pronouns such as I, we, and our) numeric - 1 -
sensory the number of times that sensory or emotional language appeared in the abstract numeric - 3.25 -
setting whether there is a specific mention of place or time in the abstract numeric - 1 -
citations The log of Web of Science number of citations for the articles associated with each abstract in our dataset. numeric - 7.0942 -
year year of publication numeric 2009 2010 -
journal One of “PNAS” “Proc Roy Soc B” or “Phil Trans Roy Soc B” character - - -
number_of_authors number of authors numeric - 5.1591 -
abstract_length in words integer 53 642 -
abstract_number unique identifier integer 886110198 908379250 -
normalized_citations adjusted for length of time paper has been published. Citations per year. Not in log scale. numeric 0.1667 200.8333 -
normalized_sensory Sensory words per word in abstract numeric - 0.037 -
normalized_conjunctions conjunctions per word in abstract numeric 0.0016 0.0377 -
normalized_connectivity connectivity words per word in abstract numeric 0.0011 0.0528 -
binary_setting 1 = yes, 0 = no decision on whether setting is used numeric - 1 -
binary_appeal 1 = yes, 0 = no decision on whether appeal is made numeric - 1 -
impact impact factor numeric 1.436 36.104 -

Source#

Hillier A, Kelly RP, Klinger T (2016) Narrative Style Influences Citation Frequency in Climate Change Science. PLoS ONE 11(12): e0167983. https://doi.org/10.1371/journal.pone.0167983