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Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

Overview of attention for article published in Cell & Bioscience, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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4 X users

Citations

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1 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia
Published in
Cell & Bioscience, March 2022
DOI 10.1186/s13578-022-00754-1
Pubmed ID
Authors

Andrea C. Kakouri, Christina Votsi, Anastasis Oulas, Paschalis Nicolaou, Massimo Aureli, Giulia Lunghi, Maura Samarani, Giacomo M. Compagnoni, Sabrina Salani, Alessio Di Fonzo, Thalis Christophides, George A. Tanteles, Eleni Zamba-Papanicolaou, Marios Pantzaris, George M. Spyrou, Kyproula Christodoulou

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Professor 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 8 62%
Readers by discipline Count As %
Nursing and Health Professions 1 8%
Immunology and Microbiology 1 8%
Social Sciences 1 8%
Neuroscience 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 8 62%
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 06 July 2023.
All research outputs
#14,304,574
of 24,620,470 outputs
Outputs from Cell & Bioscience
#282
of 1,113 outputs
Outputs of similar age
#187,537
of 432,767 outputs
Outputs of similar age from Cell & Bioscience
#11
of 39 outputs
Altmetric has tracked 24,620,470 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,113 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 74% 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 432,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.