You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-149 |
| Pubmed ID | |
| Authors |
Sarah Killcoyne, Antonio del Sol |
| Abstract |
High-throughput sequencing has become one of the primary tools for investigation of the molecular basis of disease. The increasing use of sequencing in investigations that aim to understand both individuals and populations is challenging our ability to develop analysis tools that scale with the data. This issue is of particular concern in studies that exhibit a wide degree of heterogeneity or deviation from the standard reference genome. The advent of population scale sequencing studies requires analysis tools that are developed and tested against matching quantities of heterogeneous data. |
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 | 1 | 20% |
| Norway | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Netherlands | 1 | 3% |
| Turkey | 1 | 3% |
| Spain | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 27 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 36% |
| Student > Ph. D. Student | 9 | 27% |
| Professor > Associate Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 42% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Computer Science | 5 | 15% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 15% |
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 28 May 2014.
All research outputs
#13,228,333
of 22,856,968 outputs
Outputs from BMC Bioinformatics
#4,009
of 7,293 outputs
Outputs of similar age
#108,636
of 227,275 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 151 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 227,275 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 151 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 51% of its contemporaries.