↓ Skip to main content

Exploring the changing landscape of cell-to-cell variation after CTCF knockdown via single cell RNA-seq

Overview of attention for article published in BMC Genomics, December 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
16 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
Exploring the changing landscape of cell-to-cell variation after CTCF knockdown via single cell RNA-seq
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6379-5
Pubmed ID
Authors

Wei Wang, Gang Ren, Ni Hong, Wenfei Jin

Twitter Demographics

The data shown below were collected from the profiles of 4 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 44%
Other 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 38%
Chemical Engineering 2 13%
Agricultural and Biological Sciences 2 13%
Social Sciences 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 4 25%

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 29 December 2019.
All research outputs
#12,471,234
of 20,576,260 outputs
Outputs from BMC Genomics
#4,991
of 10,083 outputs
Outputs of similar age
#218,755
of 418,437 outputs
Outputs of similar age from BMC Genomics
#360
of 818 outputs
Altmetric has tracked 20,576,260 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,083 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 47th percentile – i.e., 47% 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 418,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 818 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.