| Title |
DeeZ: reference-based compression by local assembly
|
|---|---|
| Published in |
Nature Methods, October 2014
|
| DOI | 10.1038/nmeth.3133 |
| Pubmed ID | |
| Authors |
Faraz Hach, Ibrahim Numanagic, S Cenk Sahinalp |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 2 | 20% |
| United States | 1 | 10% |
| New Zealand | 1 | 10% |
| Mexico | 1 | 10% |
| China | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 10% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 25 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 37% |
| Researcher | 5 | 17% |
| Student > Master | 4 | 13% |
| Professor | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 40% |
| Agricultural and Biological Sciences | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Engineering | 2 | 7% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 August 2022.
All research outputs
#4,107,843
of 24,862,067 outputs
Outputs from Nature Methods
#3,047
of 5,262 outputs
Outputs of similar age
#44,947
of 266,279 outputs
Outputs of similar age from Nature Methods
#42
of 80 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one is in the 42nd percentile – i.e., 42% 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 266,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.