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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Limitations of the rhesus macaque draft genome assembly and annotation
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-206 |
| Pubmed ID | |
| Authors |
Xiongfei Zhang, Joel Goodsell, Robert B Norgren, |
| Abstract |
Finished genome sequences and assemblies are available for only a few vertebrates. Thus, investigators studying many species must rely on draft genomes. Using the rhesus macaque as an example, we document the effects of sequencing errors, gaps in sequence and misassemblies on one automated gene model pipeline, Gnomon. The combination of draft genome with automated gene finding software can result in spurious sequences. We estimate that approximately 50% of the rhesus gene models are missing, incomplete or incorrect. The problems identified in this work likely apply to all draft vertebrate genomes annotated with any automated gene model pipeline and thus represent a pervasive challenge to the analysis of draft genomes. |
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 % |
|---|---|---|
| Sweden | 2 | 29% |
| Germany | 1 | 14% |
| Japan | 1 | 14% |
| United Kingdom | 1 | 14% |
| Switzerland | 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Germany | 1 | 2% |
| Colombia | 1 | 2% |
| Spain | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 37 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 35% |
| Researcher | 8 | 19% |
| Student > Master | 8 | 19% |
| Other | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Other | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 56% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 2 | 5% |
| Neuroscience | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 June 2012.
All research outputs
#6,912,452
of 22,668,244 outputs
Outputs from BMC Genomics
#3,208
of 10,615 outputs
Outputs of similar age
#49,272
of 165,091 outputs
Outputs of similar age from BMC Genomics
#20
of 90 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 68% 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 165,091 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 68% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.