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X Demographics
Mendeley readers
Attention Score in Context
Title |
iAssembler: a package for de novo assembly of Roche-454/Sanger transcriptome sequences
|
---|---|
Published in |
BMC Bioinformatics, November 2011
|
DOI | 10.1186/1471-2105-12-453 |
Pubmed ID | |
Authors |
Yi Zheng, Liangjun Zhao, Junping Gao, Zhangjun Fei |
Abstract |
Expressed Sequence Tags (ESTs) have played significant roles in gene discovery and gene functional analysis, especially for non-model organisms. For organisms with no full genome sequences available, ESTs are normally assembled into longer consensus sequences for further downstream analysis. However current de novo EST assembly programs often generate large number of assembly errors that will negatively affect the downstream analysis. In order to generate more accurate consensus sequences from ESTs, tools are needed to reduce or eliminate errors from de novo assemblies. |
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 Kingdom | 3 | 43% |
Netherlands | 1 | 14% |
United States | 1 | 14% |
Sweden | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 3% |
United Kingdom | 3 | 2% |
Norway | 2 | 1% |
Germany | 2 | 1% |
Spain | 2 | 1% |
Sweden | 2 | 1% |
Singapore | 1 | <1% |
Slovenia | 1 | <1% |
Colombia | 1 | <1% |
Other | 4 | 3% |
Unknown | 126 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 33% |
Student > Ph. D. Student | 28 | 19% |
Student > Doctoral Student | 11 | 7% |
Student > Postgraduate | 9 | 6% |
Student > Master | 9 | 6% |
Other | 29 | 20% |
Unknown | 13 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 88 | 59% |
Biochemistry, Genetics and Molecular Biology | 24 | 16% |
Computer Science | 11 | 7% |
Engineering | 3 | 2% |
Mathematics | 2 | 1% |
Other | 6 | 4% |
Unknown | 14 | 9% |
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 14 December 2011.
All research outputs
#5,955,437
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#2,227
of 7,236 outputs
Outputs of similar age
#52,987
of 239,459 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 111 outputs
Altmetric has tracked 22,659,164 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 7,236 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 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 239,459 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 77% of its contemporaries.
We're also able to compare this research output to 111 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 59% of its contemporaries.