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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA Barcode Goes Two-Dimensions: DNA QR Code Web Server
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0035146 |
| Pubmed ID | |
| Authors |
Chang Liu, Linchun Shi, Xiaolan Xu, Huan Li, Hang Xing, Dong Liang, Kun Jiang, Xiaohui Pang, Jingyuan Song, Shilin Chen |
| Abstract |
The DNA barcoding technology uses a standard region of DNA sequence for species identification and discovery. At present, "DNA barcode" actually refers to DNA sequences, which are not amenable to information storage, recognition, and retrieval. Our aim is to identify the best symbology that can represent DNA barcode sequences in practical applications. A comprehensive set of sequences for five DNA barcode markers ITS2, rbcL, matK, psbA-trnH, and CO1 was used as the test data. Fifty-three different types of one-dimensional and ten two-dimensional barcode symbologies were compared based on different criteria, such as coding capacity, compression efficiency, and error detection ability. The quick response (QR) code was found to have the largest coding capacity and relatively high compression ratio. To facilitate the further usage of QR code-based DNA barcodes, a web server was developed and is accessible at http://qrfordna.dnsalias.org. The web server allows users to retrieve the QR code for a species of interests, convert a DNA sequence to and from a QR code, and perform species identification based on local and global sequence similarities. In summary, the first comprehensive evaluation of various barcode symbologies has been carried out. The QR code has been found to be the most appropriate symbology for DNA barcode sequences. A web server has also been constructed to allow biologists to utilize QR codes in practical DNA barcoding applications. |
X Demographics
The data shown below were collected from the profiles of 50 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 States | 9 | 18% |
| France | 7 | 14% |
| United Kingdom | 3 | 6% |
| Canada | 2 | 4% |
| Germany | 2 | 4% |
| Australia | 2 | 4% |
| Italy | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 23 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 74% |
| Scientists | 11 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Malaysia | 2 | 2% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Germany | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 76 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 20% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 12 | 13% |
| Student > Master | 11 | 12% |
| Student > Doctoral Student | 6 | 7% |
| Other | 19 | 21% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 45% |
| Computer Science | 14 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Engineering | 4 | 4% |
| Arts and Humanities | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 13 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 30 August 2023.
All research outputs
#1,114,352
of 25,809,907 outputs
Outputs from PLOS ONE
#14,193
of 225,002 outputs
Outputs of similar age
#5,714
of 177,095 outputs
Outputs of similar age from PLOS ONE
#212
of 3,718 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 93% 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 177,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 3,718 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.