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Mendeley readers
Attention Score in Context
| Title |
Accuracy and quality of massively parallel DNA pyrosequencing
|
|---|---|
| Published in |
Genome Biology, January 2007
|
| DOI | 10.1186/gb-2007-8-7-r143 |
| Pubmed ID | |
| Authors |
Susan M Huse, Julie A Huber, Hilary G Morrison, Mitchell L Sogin, David Welch |
| Abstract |
Massively parallel pyrosequencing systems have increased the efficiency of DNA sequencing, although the published per-base accuracy of a Roche GS20 is only 96%. In genome projects, highly redundant consensus assemblies can compensate for sequencing errors. In contrast, studies of microbial diversity that catalogue differences between PCR amplicons of ribosomal RNA genes (rDNA) or other conserved gene families cannot take advantage of consensus assemblies to detect and minimize incorrect base calls. |
Mendeley readers
The data shown below were compiled from readership statistics for 930 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 37 | 4% |
| Brazil | 14 | 2% |
| Germany | 12 | 1% |
| United Kingdom | 10 | 1% |
| Spain | 8 | <1% |
| Belgium | 5 | <1% |
| Portugal | 5 | <1% |
| France | 5 | <1% |
| Canada | 5 | <1% |
| Other | 32 | 3% |
| Unknown | 797 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 259 | 28% |
| Researcher | 230 | 25% |
| Student > Master | 111 | 12% |
| Professor > Associate Professor | 57 | 6% |
| Student > Bachelor | 44 | 5% |
| Other | 165 | 18% |
| Unknown | 64 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 555 | 60% |
| Biochemistry, Genetics and Molecular Biology | 83 | 9% |
| Environmental Science | 64 | 7% |
| Computer Science | 39 | 4% |
| Medicine and Dentistry | 26 | 3% |
| Other | 74 | 8% |
| Unknown | 89 | 10% |
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 11 July 2023.
All research outputs
#5,943,426
of 24,003,070 outputs
Outputs from Genome Biology
#2,909
of 4,279 outputs
Outputs of similar age
#32,766
of 162,086 outputs
Outputs of similar age from Genome Biology
#58
of 144 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one is in the 31st percentile – i.e., 31% 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 162,086 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 79% of its contemporaries.
We're also able to compare this research output to 144 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 58% of its contemporaries.