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scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing

Overview of attention for article published in BMC Genomics, May 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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5 X users

Citations

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2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing
Published in
BMC Genomics, May 2023
DOI 10.1186/s12864-023-09332-2
Pubmed ID
Authors

Kejie Li, Yu H. Sun, Zhengyu Ouyang, Soumya Negi, Zhen Gao, Jing Zhu, Wanli Wang, Yirui Chen, Sarbottam Piya, Wenxing Hu, Maria I. Zavodszky, Hima Yalamanchili, Shaolong Cao, Andrew Gehrke, Mark Sheehan, Dann Huh, Fergal Casey, Xinmin Zhang, Baohong Zhang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 17%
Student > Ph. D. Student 2 17%
Student > Postgraduate 2 17%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 2 17%
Unspecified 1 8%
Computer Science 1 8%
Chemical Engineering 1 8%
Other 0 0%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 May 2023.
All research outputs
#7,641,355
of 23,936,280 outputs
Outputs from BMC Genomics
#3,561
of 10,835 outputs
Outputs of similar age
#104,752
of 334,034 outputs
Outputs of similar age from BMC Genomics
#21
of 120 outputs
Altmetric has tracked 23,936,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,835 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 334,034 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 68% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.