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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting novel therapies and targets: Regulation of Notch3 by the bromodomain protein BRD4
|
---|---|
Published in |
Molecular Cancer Therapeutics, February 2019
|
DOI | 10.1158/1535-7163.mct-18-0365 |
Pubmed ID | |
Authors |
Alejandro Villar-Prados, Sherry Y Wu, Karem A Court, Shaolin Ma, Christopher LaFargue, Mamur A Chowdhury, Margaret I Engelhardt, Cristina Ivan, Prahlad T Ram, Ying Wang, Keith Baggerly, Cristian Rodriguez-Aguayo, Gabriel Lopez-Berestein, Shyh Ming-Yang, David J Maloney, Makoto Yoshioka, Jeffrey W Strovel, Jason Roszik, Anil K Sood |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 29% |
Other | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 43% |
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 14 November 2018.
All research outputs
#20,540,789
of 23,112,054 outputs
Outputs from Molecular Cancer Therapeutics
#3,584
of 3,880 outputs
Outputs of similar age
#370,507
of 437,952 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#45
of 49 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,880 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% 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 437,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 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.