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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
TRIC: Capturing the direct cellular targets of promoter‐bound transcriptional activators
|
---|---|
Published in |
Protein Science, June 2016
|
DOI | 10.1002/pro.2951 |
Pubmed ID | |
Authors |
Amanda Dugan, Rachel Pricer, Micah Katz, Anna K Mapp |
Abstract |
Transcriptional activators coordinate the dynamic assembly of multi-protein coactivator complexes required for gene expression to occur. Here we combine the power of in vivo covalent chemical capture with p-benzoyl-L-phenylalanine (Bpa), a genetically incorporated photocrosslinking amino acid, and chromatin immunoprecipitation (ChIP) to capture the direct protein interactions of the transcriptional activator VP16 with the general transcription factor TBP at the GAL1 promoter in live yeast. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 46% |
Student > Bachelor | 2 | 15% |
Other | 2 | 15% |
Professor > Associate Professor | 2 | 15% |
Researcher | 1 | 8% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 46% |
Agricultural and Biological Sciences | 3 | 23% |
Engineering | 2 | 15% |
Computer Science | 1 | 8% |
Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2017.
All research outputs
#13,887,675
of 24,565,648 outputs
Outputs from Protein Science
#2,636
of 3,710 outputs
Outputs of similar age
#181,308
of 359,654 outputs
Outputs of similar age from Protein Science
#12
of 36 outputs
Altmetric has tracked 24,565,648 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,710 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 28th percentile – i.e., 28% 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 359,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.