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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next generation sequencing reads comparison with an alignment-free distance
|
|---|---|
| Published in |
BMC Research Notes, December 2014
|
| DOI | 10.1186/1756-0500-7-869 |
| Pubmed ID | |
| Authors |
Emanuel Weitschek, Daniele Santoni, Giulia Fiscon, Maria Cristina De Cola, Paola Bertolazzi, Giovanni Felici |
| Abstract |
Next Generation Sequencing (NGS) machines extract from a biological sample a large number ofshort DNA fragments (reads). These reads are then used for several applications, e.g., sequencereconstruction, DNA assembly, gene expression profiling, mutation analysis. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| United States | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 24% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Master | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 32% |
| Computer Science | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 8 | 22% |
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 10 March 2016.
All research outputs
#8,673,783
of 25,706,302 outputs
Outputs from BMC Research Notes
#1,393
of 4,524 outputs
Outputs of similar age
#113,775
of 370,168 outputs
Outputs of similar age from BMC Research Notes
#39
of 121 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 63% 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 370,168 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 50% of its contemporaries.
We're also able to compare this research output to 121 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 66% of its contemporaries.