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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HyDA-Vista: towards optimal guided selection of k-mer size for sequence assembly
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-s10-s9 |
| Pubmed ID | |
| Authors |
Basir Shariat, Narjes Sadat Movahedi, Hamidreza Chitsaz, Christina Boucher |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
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 | 2 | 7% |
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| France | 1 | 3% |
| Unknown | 24 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 33% |
| Student > Ph. D. Student | 6 | 20% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 37% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Computer Science | 6 | 20% |
| Chemistry | 2 | 7% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 July 2015.
All research outputs
#13,339,171
of 23,498,099 outputs
Outputs from BMC Genomics
#4,683
of 10,787 outputs
Outputs of similar age
#171,024
of 360,292 outputs
Outputs of similar age from BMC Genomics
#93
of 233 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 360,292 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 51% of its contemporaries.
We're also able to compare this research output to 233 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 59% of its contemporaries.