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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ASEQ: fast allele-specific studies from next-generation sequencing data
|
|---|---|
| Published in |
BMC Medical Genomics, March 2015
|
| DOI | 10.1186/s12920-015-0084-2 |
| Pubmed ID | |
| Authors |
Alessandro Romanel, Sara Lago, Davide Prandi, Andrea Sboner, Francesca Demichelis |
| Abstract |
Single base level information from next-generation sequencing (NGS) allows for the quantitative assessment of biological phenomena such as mosaicism or allele-specific features in healthy and diseased cells. Such studies often present with computationally challenging burdens that hinder genome-wide investigations across large datasets that are now becoming available through the 1,000 Genomes Project and The Cancer Genome Atlas (TCGA) initiatives. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 6 | 40% |
| China | 2 | 13% |
| United Kingdom | 2 | 13% |
| Germany | 2 | 13% |
| France | 1 | 7% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 67% |
| Members of the public | 5 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 125 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 28% |
| Researcher | 28 | 21% |
| Student > Master | 17 | 13% |
| Student > Doctoral Student | 10 | 8% |
| Professor > Associate Professor | 7 | 5% |
| Other | 19 | 15% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 34% |
| Biochemistry, Genetics and Molecular Biology | 40 | 31% |
| Computer Science | 10 | 8% |
| Medicine and Dentistry | 7 | 5% |
| Mathematics | 4 | 3% |
| Other | 7 | 5% |
| Unknown | 18 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 26 April 2015.
All research outputs
#4,488,375
of 22,794,367 outputs
Outputs from BMC Medical Genomics
#211
of 1,223 outputs
Outputs of similar age
#55,326
of 256,542 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 20 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 256,542 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 78% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.