↓ Skip to main content

Direct-seq: programmed gRNA scaffold for streamlined scRNA-seq in CRISPR screen

Overview of attention for article published in Genome Biology (Online Edition), June 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
54 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
Direct-seq: programmed gRNA scaffold for streamlined scRNA-seq in CRISPR screen
Published in
Genome Biology (Online Edition), June 2020
DOI 10.1186/s13059-020-02044-w
Pubmed ID
Authors

Qingkai Song, Ke Ni, Min Liu, Yini Li, Lixia Wang, Yingying Wang, Yingzheng Liu, Zhenxing Yu, Yinyao Qi, Zhike Lu, Lijia Ma

Twitter Demographics

The data shown below were collected from the profiles of 19 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 8 15%
Student > Master 5 9%
Other 4 7%
Student > Bachelor 3 6%
Other 3 6%
Unknown 16 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 39%
Agricultural and Biological Sciences 5 9%
Medicine and Dentistry 4 7%
Computer Science 3 6%
Immunology and Microbiology 2 4%
Other 2 4%
Unknown 17 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 24 July 2020.
All research outputs
#3,015,529
of 19,023,266 outputs
Outputs from Genome Biology (Online Edition)
#2,149
of 3,792 outputs
Outputs of similar age
#70,154
of 299,333 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,023,266 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one is in the 43rd percentile – i.e., 43% 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 299,333 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them