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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, January 2011
|
| DOI | 10.1186/1471-2105-12-5 |
| Pubmed ID | |
| Authors |
Mattia CF Prosperi, Luciano Prosperi, Alessandro Bruselles, Isabella Abbate, Gabriella Rozera, Donatella Vincenti, Maria Carmela Solmone, Maria Rosaria Capobianchi, Giovanni Ulivi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 3 | 2% |
| France | 2 | 1% |
| Brazil | 2 | 1% |
| Sweden | 2 | 1% |
| China | 2 | 1% |
| Belgium | 2 | 1% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 140 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 28% |
| Student > Ph. D. Student | 38 | 23% |
| Student > Master | 22 | 13% |
| Professor > Associate Professor | 13 | 8% |
| Student > Bachelor | 12 | 7% |
| Other | 28 | 17% |
| Unknown | 5 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 54% |
| Biochemistry, Genetics and Molecular Biology | 24 | 15% |
| Computer Science | 15 | 9% |
| Engineering | 6 | 4% |
| Immunology and Microbiology | 4 | 2% |
| Other | 20 | 12% |
| Unknown | 6 | 4% |
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 08 July 2011.
All research outputs
#8,234,011
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#3,160
of 7,565 outputs
Outputs of similar age
#58,008
of 190,719 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 56 outputs
Altmetric has tracked 24,666,614 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 7,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 190,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.