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Identifying novel candidate compounds for therapeutic strategies in retinopathy of prematurity via computational drug-gene association analysis

Overview of attention for article published in Frontiers in Pediatrics, July 2023
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1 X user

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4 Mendeley
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Title
Identifying novel candidate compounds for therapeutic strategies in retinopathy of prematurity via computational drug-gene association analysis
Published in
Frontiers in Pediatrics, July 2023
DOI 10.3389/fped.2023.1151239
Pubmed ID
Authors

Edward F. Xie, Sarah Hilkert Rodriguez, Bingqing Xie, Mark D’Souza, Gonnah Reem, Dinanath Sulakhe, Dimitra Skondra

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 25%
Unknown 3 75%
Readers by discipline Count As %
Unknown 4 100%
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 13 August 2023.
All research outputs
#21,741,138
of 24,261,860 outputs
Outputs from Frontiers in Pediatrics
#4,707
of 7,010 outputs
Outputs of similar age
#237,853
of 287,139 outputs
Outputs of similar age from Frontiers in Pediatrics
#132
of 232 outputs
Altmetric has tracked 24,261,860 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 7,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 287,139 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 232 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.