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Title |
Transcriptome characterization via 454 pyrosequencing of the annelid Pristina leidyi, an emerging model for studying the evolution of regeneration
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Published in |
BMC Genomics, June 2012
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DOI | 10.1186/1471-2164-13-287 |
Pubmed ID | |
Authors |
Kevin G Nyberg, Matthew A Conte, Jamie L Kostyun, Alison Forde, Alexandra E Bely |
Abstract |
The naid annelids contain a number of species that vary in their ability to regenerate lost body parts, making them excellent candidates for evolution of regeneration studies. However, scant sequence data exists to facilitate such studies. We constructed a cDNA library from the naid Pristina leidyi, a species that is highly regenerative and also reproduces asexually by fission, using material from a range of regeneration and fission stages for our library. We then sequenced the transcriptome of P. leidyi using 454 technology. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 50% |
Canada | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Canada | 1 | 2% |
Australia | 1 | 2% |
Unknown | 49 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Ph. D. Student | 9 | 17% |
Student > Bachelor | 6 | 11% |
Professor > Associate Professor | 5 | 9% |
Student > Master | 5 | 9% |
Other | 12 | 23% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 60% |
Biochemistry, Genetics and Molecular Biology | 11 | 21% |
Engineering | 2 | 4% |
Medicine and Dentistry | 1 | 2% |
Computer Science | 1 | 2% |
Other | 0 | 0% |
Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 November 2012.
All research outputs
#13,870,800
of 22,675,759 outputs
Outputs from BMC Genomics
#5,318
of 10,614 outputs
Outputs of similar age
#94,707
of 164,192 outputs
Outputs of similar age from BMC Genomics
#48
of 106 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 164,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 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 53% of its contemporaries.