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Mendeley readers
Attention Score in Context
| Title |
Identifying Fishes through DNA Barcodes and Microarrays
|
|---|---|
| Published in |
PLOS ONE, September 2010
|
| DOI | 10.1371/journal.pone.0012620 |
| Pubmed ID | |
| Authors |
Marc Kochzius, Christian Seidel, Aglaia Antoniou, Sandeep Kumar Botla, Daniel Campo, Alessia Cariani, Eva Garcia Vazquez, Janet Hauschild, Caroline Hervet, Sigridur Hjörleifsdottir, Gudmundur Hreggvidsson, Kristina Kappel, Monica Landi, Antonios Magoulas, Viggo Marteinsson, Manfred Nölte, Serge Planes, Fausto Tinti, Cemal Turan, Moleyur N. Venugopal, Hannes Weber, Dietmar Blohm |
| Abstract |
International fish trade reached an import value of 62.8 billion Euro in 2006, of which 44.6% are covered by the European Union. Species identification is a key problem throughout the life cycle of fishes: from eggs and larvae to adults in fisheries research and control, as well as processed fish products in consumer protection. |
Mendeley readers
The data shown below were compiled from readership statistics for 428 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Turkey | 2 | <1% |
| Uruguay | 2 | <1% |
| Brazil | 2 | <1% |
| Ireland | 1 | <1% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Cambodia | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 409 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 85 | 20% |
| Student > Master | 81 | 19% |
| Student > Ph. D. Student | 79 | 18% |
| Student > Bachelor | 44 | 10% |
| Student > Doctoral Student | 19 | 4% |
| Other | 59 | 14% |
| Unknown | 61 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 229 | 54% |
| Biochemistry, Genetics and Molecular Biology | 59 | 14% |
| Environmental Science | 40 | 9% |
| Computer Science | 4 | <1% |
| Earth and Planetary Sciences | 4 | <1% |
| Other | 21 | 5% |
| Unknown | 71 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 December 2017.
All research outputs
#2,933,954
of 22,769,322 outputs
Outputs from PLOS ONE
#38,997
of 194,248 outputs
Outputs of similar age
#11,651
of 95,201 outputs
Outputs of similar age from PLOS ONE
#206
of 875 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 79% 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 95,201 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 87% of its contemporaries.
We're also able to compare this research output to 875 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.