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A patient-derived olfactory stem cell disease model for ataxia-telangiectasia

Overview of attention for article published in Human Molecular Genetics, March 2013
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
3 Facebook pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A patient-derived olfactory stem cell disease model for ataxia-telangiectasia
Published in
Human Molecular Genetics, March 2013
DOI 10.1093/hmg/ddt101
Pubmed ID
Authors

Romal Stewart, Sergei Kozlov, Nicholas Matigian, Gautam Wali, Magtouf Gatei, Ratneswary Sutharsan, Bernadette Bellette, Amanda Wraith Kijas, Julie Cochrane, Mark Coulthard, Chris Perry, Kate Sinclair, Alan Mackay-Sim, Martin F. Lavin

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Canada 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Researcher 4 15%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 38%
Neuroscience 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Medicine and Dentistry 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Other 0 0%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 January 2017.
All research outputs
#15,528,733
of 25,837,817 outputs
Outputs from Human Molecular Genetics
#6,494
of 8,505 outputs
Outputs of similar age
#117,504
of 210,041 outputs
Outputs of similar age from Human Molecular Genetics
#69
of 106 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 210,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.