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Modified Kardashian index (MK-index): A measure of
discrepant social media profile for scientists
Nader Ale Ebrahim
Research Support Unit, Centre for Research Services, Institute of Research Management and
Monitoring (IPPP), University of Malaya, Malaysia
Email: aleebrahim@um.edu.my
A British geneticist Neil Hall (2014) compared certain scientists Twitter followers with their
number of article citations on Web of Science. He developed an index and named Kardashian
index (K-Index). K-index is similar to h-index. However, instead of author productivity, it
measures the discrepancy between a scientist’s social media profile and publication record. The
number of a scientist citation in ISI Web of Science is used to measure the k-index. Conversely,
these numbers are not freely available. Therefore, I offered a modified K-index based on Google
Scholar citations which is freely accessible through http://scholar.google.com/ Ale Ebrahim et
al. (2014) developed an equation for equality between Google Scholar citations and ISI Web of
Science citations (Equation 1).
Equation 1 ISI Citation = 5.961 + 0.460 (Google Scholar citation)
Neil Hall (2014) formula for K-index is shown in Equation 2:
Equation 2 K−index=F(a)/F(c)
Where F(a) is the actual number of Twitter followers and F(c) is the calculated social impact of
the author based on his/her ISI Web of Science citations which be calculated by Equation 3:
Equation 3 F = 43.3 C 0.32
Where C is the number of scientist citations in ISI Web of Science.
By merging Equation 1 and Equation 3 a new F can be calculated based on the scientist Google
Scholar citations (Equation 4):
Equation 4 F (c)m = 43.3 (5.961 + 0.460CGs)0.32
Where F (c)m is the calculated social impact of the author based on the scientist Google Scholar
citations (CGs). The MK-Index can be defined as (Equation 5):
Equation 5 MK−index=F(a)/F(c)m
“A high K-index is a warning to the community that researcher X may have built their public
profile on shaky foundations; while a very low K-index suggests that a scientist is being
undervalued (Hall, 2014).” K-Index based on ISI Web of Science (WoS) citations greater than
five can be considered ‘Science Kardashians’.
References
Ale Ebrahim, N., Salehi, H., Embi, M. A., Danaee, M., Mohammadjafari, M., Zavvari, A., . . .
Shahbazi-Moghadam, M. (2014). Equality of Google Scholar with Web of Science
Citations: Case of Malaysian Engineering Highly Cited Papers. Modern Applied Science,
8(5), 63-69. doi: 10.5539/mas.v8n5p63
Hall, N. (2014). The Kardashian index: a measure of discrepant social media profile for
scientists. Genome Biology, 15(7), 1-3. doi: 10.1186/s13059-014-0424-0

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Modified Kardashian index (MK-index): A measure of discrepant social media profile for scientists

  • 1. Modified Kardashian index (MK-index): A measure of discrepant social media profile for scientists Nader Ale Ebrahim Research Support Unit, Centre for Research Services, Institute of Research Management and Monitoring (IPPP), University of Malaya, Malaysia Email: aleebrahim@um.edu.my A British geneticist Neil Hall (2014) compared certain scientists Twitter followers with their number of article citations on Web of Science. He developed an index and named Kardashian index (K-Index). K-index is similar to h-index. However, instead of author productivity, it measures the discrepancy between a scientist’s social media profile and publication record. The number of a scientist citation in ISI Web of Science is used to measure the k-index. Conversely, these numbers are not freely available. Therefore, I offered a modified K-index based on Google Scholar citations which is freely accessible through http://scholar.google.com/ Ale Ebrahim et al. (2014) developed an equation for equality between Google Scholar citations and ISI Web of Science citations (Equation 1). Equation 1 ISI Citation = 5.961 + 0.460 (Google Scholar citation) Neil Hall (2014) formula for K-index is shown in Equation 2: Equation 2 K−index=F(a)/F(c) Where F(a) is the actual number of Twitter followers and F(c) is the calculated social impact of the author based on his/her ISI Web of Science citations which be calculated by Equation 3: Equation 3 F = 43.3 C 0.32 Where C is the number of scientist citations in ISI Web of Science. By merging Equation 1 and Equation 3 a new F can be calculated based on the scientist Google Scholar citations (Equation 4): Equation 4 F (c)m = 43.3 (5.961 + 0.460CGs)0.32 Where F (c)m is the calculated social impact of the author based on the scientist Google Scholar citations (CGs). The MK-Index can be defined as (Equation 5): Equation 5 MK−index=F(a)/F(c)m
  • 2. “A high K-index is a warning to the community that researcher X may have built their public profile on shaky foundations; while a very low K-index suggests that a scientist is being undervalued (Hall, 2014).” K-Index based on ISI Web of Science (WoS) citations greater than five can be considered ‘Science Kardashians’. References Ale Ebrahim, N., Salehi, H., Embi, M. A., Danaee, M., Mohammadjafari, M., Zavvari, A., . . . Shahbazi-Moghadam, M. (2014). Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers. Modern Applied Science, 8(5), 63-69. doi: 10.5539/mas.v8n5p63 Hall, N. (2014). The Kardashian index: a measure of discrepant social media profile for scientists. Genome Biology, 15(7), 1-3. doi: 10.1186/s13059-014-0424-0