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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
France | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
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
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.