↓ Skip to main content

Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice

Overview of attention for article published in BMC Bioinformatics, March 2020
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 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
Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice
Published in
BMC Bioinformatics, March 2020
DOI 10.1186/s12859-020-3446-5
Authors

Anna M. Nia, Tianlong Chen, Brooke L. Barnette, Kamil Khanipov, Robert L. Ullrich, Suresh K. Bhavnani, Mark R. Emmett

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Lecturer 1 13%
Student > Master 1 13%
Student > Doctoral Student 1 13%
Other 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Computer Science 2 25%
Agricultural and Biological Sciences 1 13%
Psychology 1 13%
Social Sciences 1 13%
Other 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2020.
All research outputs
#15,359,961
of 17,379,776 outputs
Outputs from BMC Bioinformatics
#5,739
of 6,152 outputs
Outputs of similar age
#231,711
of 275,772 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 15 outputs
Altmetric has tracked 17,379,776 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% 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 275,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.