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SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing

Overview of attention for article published in Genome Biology (Online Edition), December 2018
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
twitter
25 tweeters
patent
1 patent

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
1 CiteULike
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Title
SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing
Published in
Genome Biology (Online Edition), December 2018
DOI 10.1186/s13059-018-1607-x
Pubmed ID
Authors

Jinzhou Yuan, Jenny Sheng, Peter A. Sims

Twitter Demographics

The data shown below were collected from the profiles of 25 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 22%
Student > Ph. D. Student 23 19%
Student > Bachelor 12 10%
Student > Master 12 10%
Student > Doctoral Student 7 6%
Other 19 16%
Unknown 22 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 21%
Agricultural and Biological Sciences 25 20%
Engineering 12 10%
Immunology and Microbiology 6 5%
Medicine and Dentistry 6 5%
Other 20 16%
Unknown 27 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 20 May 2021.
All research outputs
#1,363,550
of 21,745,818 outputs
Outputs from Genome Biology (Online Edition)
#1,218
of 4,003 outputs
Outputs of similar age
#40,366
of 422,016 outputs
Outputs of similar age from Genome Biology (Online Edition)
#104
of 227 outputs
Altmetric has tracked 21,745,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 69% 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 422,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 227 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 54% of its contemporaries.