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Induced pluripotent stem cell-derived neuronal cells from a sporadic Alzheimer’s disease donor as a model for investigating AD-associated gene regulatory networks

Overview of attention for article published in BMC Genomics, February 2015
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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5 X users
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1 patent

Citations

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116 Dimensions

Readers on

mendeley
262 Mendeley
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1 CiteULike
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Title
Induced pluripotent stem cell-derived neuronal cells from a sporadic Alzheimer’s disease donor as a model for investigating AD-associated gene regulatory networks
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1262-5
Pubmed ID
Authors

Amir M Hossini, Matthias Megges, Alessandro Prigione, Bjoern Lichtner, Mohammad R Toliat, Wasco Wruck, Friederike Schröter, Peter Nuernberg, Hartmut Kroll, Eugenia Makrantonaki, Christos C Zoubouliss, James Adjaye

Abstract

Alzheimer's disease (AD) is a complex, irreversible neurodegenerative disorder. At present there are neither reliable markers to diagnose AD at an early stage nor therapy. To investigate underlying disease mechanisms, induced pluripotent stem cells (iPSCs) allow the generation of patient-derived neuronal cells in a dish.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Brazil 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 254 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 22%
Student > Bachelor 50 19%
Student > Master 38 15%
Researcher 27 10%
Student > Doctoral Student 15 6%
Other 26 10%
Unknown 48 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 24%
Biochemistry, Genetics and Molecular Biology 45 17%
Neuroscience 33 13%
Medicine and Dentistry 19 7%
Pharmacology, Toxicology and Pharmaceutical Science 12 5%
Other 35 13%
Unknown 55 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 June 2019.
All research outputs
#4,666,461
of 23,656,895 outputs
Outputs from BMC Genomics
#1,887
of 10,778 outputs
Outputs of similar age
#68,387
of 362,845 outputs
Outputs of similar age from BMC Genomics
#55
of 253 outputs
Altmetric has tracked 23,656,895 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,778 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 362,845 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 81% of its contemporaries.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.