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Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach

Overview of attention for article published in BMC Bioinformatics, December 2019
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Mentioned by

twitter
3 tweeters

Readers on

mendeley
5 Mendeley
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Title
Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3323-2
Pubmed ID
Authors

Alexandra M. Poos, Theresa Kordaß, Amol Kolte, Volker Ast, Marcus Oswald, Karsten Rippe, Rainer König

Twitter Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Student > Bachelor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Environmental Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Social Sciences 1 20%
Unknown 1 20%

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 03 January 2020.
All research outputs
#11,722,689
of 15,363,529 outputs
Outputs from BMC Bioinformatics
#4,401
of 5,610 outputs
Outputs of similar age
#227,839
of 341,001 outputs
Outputs of similar age from BMC Bioinformatics
#444
of 574 outputs
Altmetric has tracked 15,363,529 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,610 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 15th percentile – i.e., 15% 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 341,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 574 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.