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EFMSDTI: Drug-target interaction prediction based on an efficient fusion of multi-source data

Overview of attention for article published in Frontiers in Pharmacology, September 2022
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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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4 Mendeley
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Title
EFMSDTI: Drug-target interaction prediction based on an efficient fusion of multi-source data
Published in
Frontiers in Pharmacology, September 2022
DOI 10.3389/fphar.2022.1009996
Pubmed ID
Authors

Yuanyuan Zhang, Mengjie Wu, Shudong Wang, Wei Chen

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.
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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 1 25%
Student > Ph. D. Student 1 25%
Other 1 25%
Lecturer > Senior Lecturer 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Agricultural and Biological Sciences 1 25%
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 23 September 2022.
All research outputs
#20,940,593
of 23,577,761 outputs
Outputs from Frontiers in Pharmacology
#10,870
of 17,176 outputs
Outputs of similar age
#349,140
of 436,854 outputs
Outputs of similar age from Frontiers in Pharmacology
#853
of 1,567 outputs
Altmetric has tracked 23,577,761 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 17,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 436,854 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 1,567 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.