↓ Skip to main content

ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering

Overview of attention for article published in BMC Bioinformatics, November 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users
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
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering
Published in
BMC Bioinformatics, November 2023
DOI 10.1186/s12859-023-05494-8
Pubmed ID
Authors

Hanjing Jiang, Yabing Huang, Qianpeng Li, Boyuan Feng

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

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 13 November 2023.
All research outputs
#16,086,050
of 25,888,065 outputs
Outputs from BMC Bioinformatics
#4,804
of 7,761 outputs
Outputs of similar age
#167,457
of 367,714 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 86 outputs
Altmetric has tracked 25,888,065 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,761 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 34th percentile – i.e., 34% 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 367,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.