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MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment

Overview of attention for article published in Computational Biology & Chemistry, July 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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8 Mendeley
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Title
MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment
Published in
Computational Biology & Chemistry, July 2023
DOI 10.1016/j.compbiolchem.2023.107925
Pubmed ID
Authors

Nina Petrović, Magbubah Essack, Ahmad Šami, George Perry, Takashi Gojobori, Esma R Isenović, Vladan P Bajić

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Unspecified 1 13%
Researcher 1 13%
Unknown 4 50%
Readers by discipline Count As %
Engineering 2 25%
Agricultural and Biological Sciences 1 13%
Unspecified 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 September 2023.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Computational Biology & Chemistry
#711
of 882 outputs
Outputs of similar age
#306,533
of 364,053 outputs
Outputs of similar age from Computational Biology & Chemistry
#10
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 882 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 364,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.