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A transcriptome based approach to predict candidate drug targets and drugs for Parkinson's disease using an in vitro 6-OHDA model

Overview of attention for article published in Molecular BioSystems, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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6 X users

Citations

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3 Dimensions

Readers on

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3 Mendeley
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Title
A transcriptome based approach to predict candidate drug targets and drugs for Parkinson's disease using an in vitro 6-OHDA model
Published in
Molecular BioSystems, January 2023
DOI 10.1039/d2mo00267a
Pubmed ID
Authors

Esra Nur Yiğit, Ekin Sönmez, İsa Yüksel, Işıl Aksan Kurnaz, Tunahan Çakır

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Other 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Neuroscience 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 April 2023.
All research outputs
#7,285,973
of 25,756,911 outputs
Outputs from Molecular BioSystems
#406
of 1,773 outputs
Outputs of similar age
#135,049
of 480,054 outputs
Outputs of similar age from Molecular BioSystems
#9
of 64 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,773 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 76% 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 480,054 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 71% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.