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Gene regulatory networks on transfer entropy (GRNTE): a novel approach to reconstruct gene regulatory interactions applied to a case study for the plant pathogen Phytophthora infestans

Overview of attention for article published in Theoretical Biology and Medical Modelling, April 2019
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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

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Gene regulatory networks on transfer entropy (GRNTE): a novel approach to reconstruct gene regulatory interactions applied to a case study for the plant pathogen Phytophthora infestans
Published in
Theoretical Biology and Medical Modelling, April 2019
DOI 10.1186/s12976-019-0103-7
Pubmed ID
Authors

Juan Camilo Castro, Ivan Valdés, Laura Natalia Gonzalez-García, Giovanna Danies, Silvia Cañas, Flavia Vischi Winck, Carlos Eduardo Ñústez, Silvia Restrepo, Diego Mauricio Riaño-Pachón

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Master 5 12%
Student > Bachelor 5 12%
Researcher 4 10%
Student > Doctoral Student 3 7%
Other 5 12%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 21%
Biochemistry, Genetics and Molecular Biology 8 19%
Physics and Astronomy 2 5%
Computer Science 2 5%
Business, Management and Accounting 2 5%
Other 8 19%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 August 2019.
All research outputs
#3,892,734
of 23,577,761 outputs
Outputs from Theoretical Biology and Medical Modelling
#53
of 284 outputs
Outputs of similar age
#80,814
of 354,195 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 3 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 81% of its peers.
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 354,195 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 3 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