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{{Short description|Citation metric}}
{{Citation metrics}}
The '''Kardashian Index''' ('''K-Index'''), named after [[Kim Kardashian]], is a satirical measure of the discrepancy between a scientist's [[social media]] profile and [[publication]] record.<ref name = "originalarticle">{{cite journal|title=The Kardashian index: a measure of discrepant social media profile for scientists|url=http://genomebiology.com/content/pdf/s13059-014-0424-0.pdf|journal=Genome Biology|issue=7|date=July 30, 2014|accessdate=August 15, 2014|doi=10.1186/s13059-014-0424-0|volume=15|pages=424|pmid=25315513|pmc=4165362 | last1 = Hall | first1 = N}}</ref><ref name="Griggs2014">{{Cite magazine |last=Griggs |first=Mary Beth |title=When Scientists, Social Media, and the Kardashians Collide |url=https://www.smithsonianmag.com/smart-news/when-scientists-social-media-and-kardashians-collide-180952255/ |date=August 15, 2014 |access-date=2022-04-17 |magazine=Smithsonian Magazine |language=en |quote=The paper, meant to be satirical, was titled 'The Kardashian index: a measure of discrepant social media profile for scientists' ....}}</ref> Proposed by Neil Hall in 2014, the measure compares the number of followers a [[research scientist]] has on [[Twitter]] to the number of [[citation]]s they have for their [[peer-review]]ed work.
==Definition==
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==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:{{blockquote |text=I propose that all scientists calculate their own K-index on an annual basis and include it in their Twitter profile. Not only does this help others decide how much weight they should give to someone’s 140 character wisdom, it can also be an incentive - if your K-index gets above 5, then it’s time to get off Twitter and write those papers.<ref name="originalarticle"/>}}
Hall also added "a serious note" noticing the 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.<ref name="originalarticle"/>
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”.<ref>{{cite tweet |last=Hall |first=Neil |user=neilhall_uk |number=1492259823114723329 |date=11 February 2022 |title=@GidMK @WvSchaik It’s a dig at metrics not Kardashians. It’s like taking a quiz to see what character from Game of Thrones you are and finding out you’re Joffrey Baratheon. It doesn’t matter - it’s not a real test. Thankfully |language=en |access-date=21 February 2022 |archive-url=https://web.archive.org/web/20220214201456/https://twitter.com/neilhall_uk/status/1492259823114723329 |archive-date=14 February 2022 |url-status=live}}</ref>
==Response==
Many jocular indicies of scientific productivity were proposed in the immediate aftermath of publication of the K-Index paper.<ref name="Griggs2014"/> 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.<ref>{{Cite web |date=July 31, 2014 |first=Keith |last=Bradnam |title=The Tesla index: a measure of social isolation for scientists |url=http://www.acgt.me/blog/2014/7/31/the-tesla-index-a-measure-of-social-isolation-for-scientists |access-date=2022-04-20 |website=ACGT |language=en-GB}}</ref> People tweeted suggestions hashtagged <code>#alternatesciencemetrics</code><ref name="Griggs2014"/><ref>{{Cite magazine |last=Rothkopf |first=Joanna |date=2014-08-04 |title=The Kardashian index and the 10 best #alternatesciencemetrics tweets |url=https://www.salon.com/2014/08/04/the_kardashian_index_and_the_10_best_alternatesciencemetrics_tweets/ |access-date=2022-04-20 |website=Salon |language=en |archive-url=https://web.archive.org/web/20140807214130/https://www.salon.com/2014/08/04/the_kardashian_index_and_the_10_best_alternatesciencemetrics_tweets/ |archive-date=2014-08-07 |url-status=dead}}</ref>
==Criticism==
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