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Identification via Numerical Computation of Transcriptional Determinants of a Cell Phenotype Decision Making

Overview of attention for article published in Frontiers in Genetics, June 2019
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Mentioned by

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1 X user

Readers on

mendeley
18 Mendeley
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Title
Identification via Numerical Computation of Transcriptional Determinants of a Cell Phenotype Decision Making
Published in
Frontiers in Genetics, June 2019
DOI 10.3389/fgene.2019.00575
Pubmed ID
Authors

Marilisa Cortesi, Alice Pasini, Simone Furini, Emanuele Giordano

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 39%
Student > Master 4 22%
Researcher 2 11%
Student > Bachelor 1 6%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Unspecified 7 39%
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 3 17%
Nursing and Health Professions 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 1 6%
Attention Score in Context

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 21 June 2019.
All research outputs
#15,574,539
of 23,149,216 outputs
Outputs from Frontiers in Genetics
#5,531
of 12,189 outputs
Outputs of similar age
#216,071
of 352,208 outputs
Outputs of similar age from Frontiers in Genetics
#139
of 236 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,189 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 352,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 236 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.