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Attention Score in Context
Title |
The complete mitochondrial genomes of three parasitic nematodes of birds: a unique gene order and insights into nematode phylogeny
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Published in |
BMC Genomics, June 2013
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DOI | 10.1186/1471-2164-14-414 |
Pubmed ID | |
Authors |
Guo-Hua Liu, Renfu Shao, Jia-Yuan Li, Dong-Hui Zhou, Hu Li, Xing-Quan Zhu |
Abstract |
Analyses of mitochondrial (mt) genome sequences in recent years challenge the current working hypothesis of Nematoda phylogeny proposed from morphology, ecology and nuclear small subunit rRNA gene sequences, and raise the need to sequence additional mt genomes for a broad range of nematode lineages. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 4% |
Mexico | 1 | 2% |
Australia | 1 | 2% |
Unknown | 53 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 21% |
Researcher | 8 | 14% |
Student > Bachelor | 8 | 14% |
Student > Master | 8 | 14% |
Professor > Associate Professor | 5 | 9% |
Other | 11 | 19% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 28 | 49% |
Biochemistry, Genetics and Molecular Biology | 9 | 16% |
Veterinary Science and Veterinary Medicine | 5 | 9% |
Computer Science | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Other | 5 | 9% |
Unknown | 6 | 11% |
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 23 June 2015.
All research outputs
#6,764,662
of 22,712,476 outputs
Outputs from BMC Genomics
#3,064
of 10,626 outputs
Outputs of similar age
#57,965
of 196,836 outputs
Outputs of similar age from BMC Genomics
#32
of 118 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,626 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 70% 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 196,836 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 70% of its contemporaries.
We're also able to compare this research output to 118 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 72% of its contemporaries.