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A meta-analysis of microarray datasets to identify biological regulatory networks in Alzheimer’s disease

Overview of attention for article published in Frontiers in Genetics, August 2023
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A meta-analysis of microarray datasets to identify biological regulatory networks in Alzheimer’s disease
Published in
Frontiers in Genetics, August 2023
DOI 10.3389/fgene.2023.1225196
Pubmed ID
Authors

Kimia Sadat Hashemi, Mohadese Koohi Aliabadi, Arian Mehrara, Elham Talebi, Ali Akbar Hemmati, Radin Dabbagh Rezaeiye, Mohammad Javad Ghanbary, Maryam Motealleh, Behnaz Dayeri, Shayan Khalili Alashti

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 29%
Student > Bachelor 4 24%
Student > Ph. D. Student 1 6%
Other 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Unspecified 5 29%
Medicine and Dentistry 2 12%
Biochemistry, Genetics and Molecular Biology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Nursing and Health Professions 1 6%
Other 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 September 2023.
All research outputs
#3,513,170
of 26,320,509 outputs
Outputs from Frontiers in Genetics
#966
of 13,890 outputs
Outputs of similar age
#57,639
of 363,675 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 346 outputs
Altmetric has tracked 26,320,509 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,890 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 92% 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 363,675 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 83% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.