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Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis

Overview of attention for article published in BMC Genomics, December 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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9 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis
Published in
BMC Genomics, December 2020
DOI 10.1186/s12864-020-07241-2
Pubmed ID
Authors

Shouguo Gao, Zhijie Wu, Xingmin Feng, Sachiko Kajigaya, Xujing Wang, Neal S. Young

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Ph. D. Student 4 18%
Student > Doctoral Student 3 14%
Student > Bachelor 3 14%
Student > Master 2 9%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Medicine and Dentistry 4 18%
Agricultural and Biological Sciences 3 14%
Immunology and Microbiology 3 14%
Computer Science 2 9%
Other 3 14%
Unknown 2 9%
Attention Score in Context

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 30 December 2020.
All research outputs
#15,001,165
of 23,270,775 outputs
Outputs from BMC Genomics
#6,155
of 10,736 outputs
Outputs of similar age
#283,184
of 502,776 outputs
Outputs of similar age from BMC Genomics
#92
of 180 outputs
Altmetric has tracked 23,270,775 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,736 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 502,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.