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X Demographics
Mendeley readers
Attention Score in Context
Title |
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
|
---|---|
Published in |
Genome Biology, March 2020
|
DOI | 10.1186/s13059-020-01977-6 |
Pubmed ID | |
Authors |
Jacob Schreiber, Timothy Durham, Jeffrey Bilmes, William Stafford Noble |
X Demographics
The data shown below were collected from the profiles of 49 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 | 18 | 37% |
United Kingdom | 3 | 6% |
France | 3 | 6% |
Germany | 2 | 4% |
Canada | 2 | 4% |
Spain | 1 | 2% |
Netherlands | 1 | 2% |
Colombia | 1 | 2% |
Unknown | 18 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 26 | 53% |
Members of the public | 22 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 194 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 57 | 29% |
Researcher | 38 | 20% |
Student > Bachelor | 18 | 9% |
Student > Master | 15 | 8% |
Student > Doctoral Student | 8 | 4% |
Other | 22 | 11% |
Unknown | 36 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 57 | 29% |
Computer Science | 39 | 20% |
Agricultural and Biological Sciences | 24 | 12% |
Engineering | 10 | 5% |
Physics and Astronomy | 5 | 3% |
Other | 17 | 9% |
Unknown | 42 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 05 January 2024.
All research outputs
#1,476,918
of 25,630,321 outputs
Outputs from Genome Biology
#1,169
of 4,498 outputs
Outputs of similar age
#38,258
of 396,482 outputs
Outputs of similar age from Genome Biology
#33
of 77 outputs
Altmetric has tracked 25,630,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 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 gotten more attention than average, scoring higher than 73% 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 396,482 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 90% of its contemporaries.
We're also able to compare this research output to 77 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 57% of its contemporaries.