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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Calculation of Tajima’s D and other neutrality test statistics from low depth next-generation sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2013
|
| DOI | 10.1186/1471-2105-14-289 |
| Pubmed ID | |
| Authors |
Thorfinn Sand Korneliussen, Ida Moltke, Anders Albrechtsen, Rasmus Nielsen |
| Abstract |
A number of different statistics are used for detecting natural selection using DNA sequencing data, including statistics that are summaries of the frequency spectrum, such as Tajima's D. These statistics are now often being applied in the analysis of Next Generation Sequencing (NGS) data. However, estimates of frequency spectra from NGS data are strongly affected by low sequencing coverage; the inherent technology dependent variation in sequencing depth causes systematic differences in the value of the statistic among genomic regions. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| India | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 504 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| Brazil | 4 | <1% |
| Spain | 3 | <1% |
| Italy | 2 | <1% |
| Germany | 2 | <1% |
| Sweden | 2 | <1% |
| Mexico | 1 | <1% |
| France | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 481 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 129 | 26% |
| Researcher | 104 | 21% |
| Student > Master | 70 | 14% |
| Student > Bachelor | 46 | 9% |
| Student > Doctoral Student | 26 | 5% |
| Other | 62 | 12% |
| Unknown | 67 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 260 | 52% |
| Biochemistry, Genetics and Molecular Biology | 105 | 21% |
| Environmental Science | 19 | 4% |
| Computer Science | 8 | 2% |
| Immunology and Microbiology | 4 | <1% |
| Other | 27 | 5% |
| Unknown | 81 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 2023.
All research outputs
#6,119,347
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,215
of 7,400 outputs
Outputs of similar age
#53,315
of 208,644 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 100 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 208,644 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 73% of its contemporaries.
We're also able to compare this research output to 100 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 67% of its contemporaries.