Kardashian Index

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The Kardashian Index (K-Index), named after media personality Kim Kardashian, is a satirical measure of the discrepancy between a scientist's social media profile and publication record.[1][2] Proposed by Neil Hall in 2014, the measure compares the number of followers a research scientist has on Twitter to the number of citations they have for their peer-reviewed work.

Definition

The relationship between the expected number of Twitter followers F given the number of citations C is described as F(C)=43.3C0.32,

which is derived from the Twitter accounts and citation counts of a "randomish selection of 40 scientists" in 2014.[1] The Kardashian Index is thus calculated as K-index=FaF(C),

where Fa is the actual number of Twitter followers of researcher X, and F(C) is the number that researcher should have, given their citations.

Interpretation

A high K-index indicates an over-blown scientific fame, while a low K-index suggests that a scientist is being undervalued. According to the author Hall, researchers whose K-index > 5 can be considered "Science Kardashians". Hall wrote:[1] Template:Blockquote

Hall also added "a serious note" noticing the gender disparity in his sample. Of 14 female scientists, 11 had lower than predicted K-indices, while only one of the high-index scientists was female.[1]

On February 11, 2022, on Twitter, Neil Hall stated that he intended the Kardashian Index to be a “dig at metrics not Kardashians” and that “the entire premise is satire”.[3]

Response

Many jocular indices of scientific productivity were proposed in the immediate aftermath of publication of the K-Index paper.[2] The Tesla Index measured social isolation of scientists relative to their productivity, named after Nikola Tesla, whose work was hugely influential, while he remained a social recluse.[4] People tweeted suggestions hashtagged #alternatesciencemetrics.[2][5]

In 2022, John Ioannidis authored a paper in The BMJ arguing that signatories of the Great Barrington Declaration about how to deal with the COVID-19 pandemic were shunned as a fringe minority by those in favor of the John Snow Memorandum. According to him, the latter used their large numbers of followers on Twitter and other social media and op-eds to shape a scientific "groupthink" against the former, who had less influence.[6] The version of the index that Ioannidis used Scopus citations instead of Google Scholar citations, since many of the signatories had no Google Scholar pages.[7]

The K-index suggests that the number of citations of a given scientist is comparable to their scientific value. This assumption has been criticized.[8][9]

The proposal of the K-Index has been interpreted as a criticism to the assumption that scientists should have a social media impact at all, while in reality, social media footprint has no correlation to the scientific quality or scientific impact.[10]

See also

References

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Bibliography

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