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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating DNA polymorphism from next generation sequencing data with high error rate by dual sequencing applications
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-535 |
| Pubmed ID | |
| Authors |
Ziwen He, Xinnian Li, Shaoping Ling, Yun-Xin Fu, Eric Hungate, Suhua Shi, Chung-I Wu |
| Abstract |
As the error rate is high and the distribution of errors across sites is non-uniform in next generation sequencing (NGS) data, it has been a challenge to estimate DNA polymorphism (θ) accurately from NGS data. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 11% |
| Australia | 1 | 11% |
| Sweden | 1 | 11% |
| India | 1 | 11% |
| Netherlands | 1 | 11% |
| United Kingdom | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 36 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 57% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 3 | 7% |
| Environmental Science | 2 | 5% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 August 2013.
All research outputs
#5,981,606
of 23,881,329 outputs
Outputs from BMC Genomics
#2,400
of 10,793 outputs
Outputs of similar age
#48,538
of 200,245 outputs
Outputs of similar age from BMC Genomics
#23
of 117 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 200,245 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 75% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.