↓ Skip to main content

Cluster correlation based method for lncRNA-disease association prediction

Overview of attention for article published in BMC Bioinformatics, May 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
13 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
Cluster correlation based method for lncRNA-disease association prediction
Published in
BMC Bioinformatics, May 2020
DOI 10.1186/s12859-020-3496-8
Pubmed ID
Authors

Qianqian Yuan, Xingli Guo, Yang Ren, Xiao Wen, Lin Gao

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Other 1 8%
Unknown 8 62%
Readers by discipline Count As %
Computer Science 3 23%
Agricultural and Biological Sciences 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 6 46%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 November 2021.
All research outputs
#12,486,356
of 21,173,427 outputs
Outputs from BMC Bioinformatics
#3,999
of 6,883 outputs
Outputs of similar age
#149,170
of 296,733 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 7 outputs
Altmetric has tracked 21,173,427 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,883 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 38th percentile – i.e., 38% 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 296,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.