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X Demographics
Mendeley readers
Attention Score in Context
Title |
Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation
|
---|---|
Published in |
Genome Biology, September 2020
|
DOI | 10.1186/s13059-020-02167-0 |
Pubmed ID | |
Authors |
Abbas Roayaei Ardakany, Halil Tuvan Gezer, Stefano Lonardi, Ferhat Ay |
X Demographics
The data shown below were collected from the profiles of 40 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 | 13 | 33% |
United Kingdom | 6 | 15% |
Poland | 1 | 3% |
Netherlands | 1 | 3% |
Australia | 1 | 3% |
Turkey | 1 | 3% |
Germany | 1 | 3% |
France | 1 | 3% |
Unknown | 15 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 24 | 60% |
Members of the public | 14 | 35% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 118 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 23% |
Researcher | 22 | 19% |
Student > Bachelor | 12 | 10% |
Student > Master | 8 | 7% |
Student > Doctoral Student | 6 | 5% |
Other | 9 | 8% |
Unknown | 34 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 50 | 42% |
Agricultural and Biological Sciences | 8 | 7% |
Computer Science | 6 | 5% |
Mathematics | 3 | 3% |
Neuroscience | 2 | 2% |
Other | 11 | 9% |
Unknown | 38 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 09 December 2021.
All research outputs
#1,163,785
of 25,801,916 outputs
Outputs from Genome Biology
#842
of 4,520 outputs
Outputs of similar age
#31,573
of 433,996 outputs
Outputs of similar age from Genome Biology
#22
of 70 outputs
Altmetric has tracked 25,801,916 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th 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 81% 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 433,996 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 92% of its contemporaries.
We're also able to compare this research output to 70 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 68% of its contemporaries.