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X Demographics
Mendeley readers
Attention Score in Context
Title |
RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci
|
---|---|
Published in |
Genome Biology, January 2024
|
DOI | 10.1186/s13059-024-03171-4 |
Pubmed ID | |
Authors |
Sarah Fazal, Matt C. Danzi, Isaac Xu, Shilpa Nadimpalli Kobren, Shamil Sunyaev, Chloe Reuter, Shruti Marwaha, Matthew Wheeler, Egor Dolzhenko, Francesca Lucas, Stefan Wuchty, Mustafa Tekin, Stephan Züchner, Vanessa Aguiar-Pulido |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Researcher | 2 | 17% |
Other | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 4 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 25% |
Agricultural and Biological Sciences | 2 | 17% |
Environmental Science | 1 | 8% |
Computer Science | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 February 2024.
All research outputs
#15,533,143
of 25,394,764 outputs
Outputs from Genome Biology
#3,969
of 4,470 outputs
Outputs of similar age
#102,191
of 252,431 outputs
Outputs of similar age from Genome Biology
#48
of 56 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 11th percentile – i.e., 11% 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 252,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.