↓ Skip to main content

Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks

Overview of attention for article published in BMC Bioinformatics, January 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04538-1
Pubmed ID
Authors

Liugen Wang, Min Shang, Qi Dai, Ping-an He

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Unspecified 1 14%
Researcher 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 4 57%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 2 29%

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 05 January 2022.
All research outputs
#13,771,052
of 20,655,167 outputs
Outputs from BMC Bioinformatics
#5,002
of 6,819 outputs
Outputs of similar age
#252,322
of 435,774 outputs
Outputs of similar age from BMC Bioinformatics
#501
of 535 outputs
Altmetric has tracked 20,655,167 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,819 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 435,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.