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X Demographics
Mendeley readers
Attention Score in Context
Title |
An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding
|
---|---|
Published in |
Genome Biology, January 2021
|
DOI | 10.1186/s13059-020-02218-6 |
Pubmed ID | |
Authors |
Divyanshi Srivastava, Begüm Aydin, Esteban O. Mazzoni, Shaun Mahony |
X Demographics
The data shown below were collected from the profiles of 100 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 | 39 | 39% |
United Kingdom | 7 | 7% |
Germany | 6 | 6% |
India | 4 | 4% |
Canada | 4 | 4% |
Norway | 2 | 2% |
Australia | 1 | 1% |
Mexico | 1 | 1% |
China | 1 | 1% |
Other | 8 | 8% |
Unknown | 27 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 63 | 63% |
Members of the public | 34 | 34% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 26% |
Researcher | 8 | 21% |
Student > Doctoral Student | 4 | 11% |
Professor | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Other | 1 | 3% |
Unknown | 11 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 29% |
Agricultural and Biological Sciences | 5 | 13% |
Computer Science | 5 | 13% |
Neuroscience | 2 | 5% |
Immunology and Microbiology | 1 | 3% |
Other | 2 | 5% |
Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 02 June 2021.
All research outputs
#772,655
of 25,830,005 outputs
Outputs from Genome Biology
#500
of 4,520 outputs
Outputs of similar age
#21,596
of 531,553 outputs
Outputs of similar age from Genome Biology
#14
of 89 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 88% of its peers.
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 531,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.