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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
TagCleaner: Identification and removal of tag sequences from genomic and metagenomic datasets
|
|---|---|
| Published in |
BMC Bioinformatics, June 2010
|
| DOI | 10.1186/1471-2105-11-341 |
| Pubmed ID | |
| Authors |
Robert Schmieder, Yan Wei Lim, Forest Rohwer, Robert Edwards |
| Abstract |
Sequencing metagenomes that were pre-amplified with primer-based methods requires the removal of the additional tag sequences from the datasets. The sequenced reads can contain deletions or insertions due to sequencing limitations, and the primer sequence may contain ambiguous bases. Furthermore, the tag sequence may be unavailable or incorrectly reported. Because of the potential for downstream inaccuracies introduced by unwanted sequence contaminations, it is important to use reliable tools for pre-processing sequence data. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 8 | 3% |
| France | 3 | 1% |
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Chile | 1 | <1% |
| Norway | 1 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 240 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 77 | 29% |
| Student > Ph. D. Student | 49 | 18% |
| Student > Master | 41 | 15% |
| Student > Doctoral Student | 18 | 7% |
| Student > Bachelor | 18 | 7% |
| Other | 42 | 16% |
| Unknown | 21 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 150 | 56% |
| Biochemistry, Genetics and Molecular Biology | 40 | 15% |
| Computer Science | 10 | 4% |
| Environmental Science | 9 | 3% |
| Medicine and Dentistry | 9 | 3% |
| Other | 17 | 6% |
| Unknown | 31 | 12% |
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 10 December 2020.
All research outputs
#6,905,877
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#2,684
of 7,234 outputs
Outputs of similar age
#31,451
of 93,825 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 71 outputs
Altmetric has tracked 22,649,029 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 7,234 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 61% 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 93,825 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 65% of its contemporaries.
We're also able to compare this research output to 71 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 54% of its contemporaries.