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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prefix-free parsing for building big BWTs
|
|---|---|
| Published in |
Algorithms for Molecular Biology, May 2019
|
| DOI | 10.1186/s13015-019-0148-5 |
| Pubmed ID | |
| Authors |
Christina Boucher, Travis Gagie, Alan Kuhnle, Ben Langmead, Giovanni Manzini, Taher Mun |
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 % |
|---|---|---|
| United States | 3 | 30% |
| United Kingdom | 2 | 20% |
| Germany | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Professor | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 61% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 June 2019.
All research outputs
#6,162,807
of 23,344,526 outputs
Outputs from Algorithms for Molecular Biology
#55
of 264 outputs
Outputs of similar age
#109,968
of 350,660 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 2 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 79% 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 350,660 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 68% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.