↓ Skip to main content

Michigan Publishing

SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies

Overview of attention for article published in Genome Biology, June 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
30 X users

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
66 Mendeley
Title
SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Published in
Genome Biology, June 2021
DOI 10.1186/s13059-021-02404-0
Pubmed ID
Authors

Jiaqiang Zhu, Shiquan Sun, Xiang Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 10 15%
Student > Bachelor 5 8%
Student > Master 4 6%
Student > Postgraduate 3 5%
Other 6 9%
Unknown 23 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 21%
Agricultural and Biological Sciences 6 9%
Computer Science 6 9%
Mathematics 4 6%
Neuroscience 3 5%
Other 7 11%
Unknown 26 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 03 January 2022.
All research outputs
#2,436,127
of 25,392,582 outputs
Outputs from Genome Biology
#1,976
of 4,470 outputs
Outputs of similar age
#59,750
of 456,602 outputs
Outputs of similar age from Genome Biology
#44
of 75 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 456,602 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.