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A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning

Overview of attention for article published in Molecular Cell, September 2020
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2 X users

Citations

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3 Mendeley
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Title
A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning
Published in
Molecular Cell, September 2020
DOI 10.1016/j.molcel.2020.08.013
Pubmed ID
Authors

Ariel Erijman, Lukasz Kozlowski, Salma Sohrabi-Jahromi, James Fishburn, Linda Warfield, Jacob Schreiber, William S Noble, Johannes Sӧding, Steven Hahn

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Master 1 33%
Researcher 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Unspecified 1 33%
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 20 September 2020.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Molecular Cell
#7,224
of 7,621 outputs
Outputs of similar age
#309,610
of 424,805 outputs
Outputs of similar age from Molecular Cell
#82
of 82 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one is in the 4th percentile – i.e., 4% 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 424,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 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.