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Systems genomics evaluation of the SH-SY5Y neuroblastoma cell line as a model for Parkinson’s disease

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Readers on

mendeley
358 Mendeley
citeulike
2 CiteULike
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Title
Systems genomics evaluation of the SH-SY5Y neuroblastoma cell line as a model for Parkinson’s disease
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1154
Pubmed ID
Authors

Abhimanyu Krishna, Maria Biryukov, Christophe Trefois, Paul MA Antony, Rene Hussong, Jake Lin, Merja Heinäniemi, Gustavo Glusman, Sandra Köglsberger, Olga Boyd, Bart HJ van den Berg, Dennis Linke, David Huang, Kai Wang, Leroy Hood, Andreas Tholey, Reinhard Schneider, David J Galas, Rudi Balling, Patrick May

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 6 2%
United States 2 <1%
Italy 1 <1%
Germany 1 <1%
Spain 1 <1%
Unknown 347 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 22%
Student > Master 48 13%
Student > Bachelor 48 13%
Researcher 37 10%
Student > Doctoral Student 14 4%
Other 47 13%
Unknown 87 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 79 22%
Agricultural and Biological Sciences 62 17%
Neuroscience 41 11%
Pharmacology, Toxicology and Pharmaceutical Science 21 6%
Medicine and Dentistry 14 4%
Other 45 13%
Unknown 96 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2020.
All research outputs
#4,792,785
of 26,017,215 outputs
Outputs from BMC Genomics
#1,817
of 11,367 outputs
Outputs of similar age
#61,046
of 364,939 outputs
Outputs of similar age from BMC Genomics
#51
of 304 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.