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iLncDA-RSN: identification of lncRNA-disease associations based on reliable similarity networks

Overview of attention for article published in Frontiers in Genetics, August 2023
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1 X user

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2 Mendeley
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Title
iLncDA-RSN: identification of lncRNA-disease associations based on reliable similarity networks
Published in
Frontiers in Genetics, August 2023
DOI 10.3389/fgene.2023.1249171
Pubmed ID
Authors

Yahan Li, Mingrui Zhang, Junliang Shang, Feng Li, Qianqian Ren, Jin-Xing Liu

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 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 08 August 2023.
All research outputs
#21,703,772
of 24,223,370 outputs
Outputs from Frontiers in Genetics
#9,236
of 13,011 outputs
Outputs of similar age
#135,046
of 164,632 outputs
Outputs of similar age from Frontiers in Genetics
#52
of 148 outputs
Altmetric has tracked 24,223,370 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 13,011 research outputs from this source. They receive a mean Attention Score of 3.7. 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 164,632 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 148 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.