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LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods

Overview of attention for article published in Frontiers in Genetics, May 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Title
LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods
Published in
Frontiers in Genetics, May 2023
DOI 10.3389/fgene.2023.1181592
Pubmed ID
Authors

Jianwei Li, Yinfei Wang, Zhiguang Li, Hongxin Lin, Baoqin Wu

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Unknown 5 83%
Readers by discipline Count As %
Computer Science 1 17%
Unknown 5 83%
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 10 May 2023.
All research outputs
#21,089,698
of 23,733,540 outputs
Outputs from Frontiers in Genetics
#9,072
of 12,651 outputs
Outputs of similar age
#163,829
of 208,923 outputs
Outputs of similar age from Frontiers in Genetics
#116
of 217 outputs
Altmetric has tracked 23,733,540 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 12,651 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 208,923 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 217 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.