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Claddis (version 0.7.0)

calculate_kardashian_index: Calculates a researcher's Kardashian Index

Description

Given counts of a researcher's Twitter followers and citations, returns their Kardashian Index.

Usage

calculate_kardashian_index(twitter_followers, total_citations)

Value

A scalar representing the ratio of expected Twitter followers (based on number of citations) to actual Twitter followers. Values greater than one indicate more Twitter followers than expected, those below one, fewer. According to Hall (2014), values above 5 are "Science Kardashians".

Arguments

twitter_followers

The number of twitter followers the researcher has.

total_citations

The total number of citations across the researcher's publications (e.g., as garnered from a Google Scholar profile).

Author

Graeme T. Lloyd graemetlloyd@gmail.com

Details

This function implements the Kardashian Index of Hall (2014) and interested readers should consult that paper for more background.

References

Hall, N., 2014. The Kardashian index: a measure of discrepant social media profile for scientists. Genome Biology, 15, 424.

Examples

Run this code

# Calculate the Kardashian Index of Sam Giles (@GilesPalaeoLab)
# as of 10/5/21:
calculate_kardashian_index(
  twitter_followers = 6534,
  total_citations = 550
)

# Calculate the Kardashian Index of Christopher Jackson (@seis_matters)
# as of 10/5/21:
calculate_kardashian_index(
  twitter_followers = 26000,
  total_citations = 6265
)

# Calculate the Kardashian Index of Graeme T. Lloyd (@GraemeTLloyd)
# as of 10/5/21:
calculate_kardashian_index(
  twitter_followers = 2133,
  total_citations = 2780
)

# Calculate the Kardashian Index of Katie Mack (@AstroKatie)
# as of 10/5/21:
calculate_kardashian_index(
  twitter_followers = 394900,
  total_citations = 1131
)

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