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Mendeley readers
Attention Score in Context
| Title |
Transcriptome discovery in non-model wild fish species for the development of quantitative transcript abundance assays
|
|---|---|
| Published in |
Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, July 2016
|
| DOI | 10.1016/j.cbd.2016.07.001 |
| Pubmed ID | |
| Authors |
Cassidy M. Hahn, Luke R. Iwanowicz, Robert S. Cornman, Patricia M. Mazik, Vicki S. Blazer |
| Abstract |
Environmental studies increasingly identify the presence of both contaminants of emerging concern (CECs) and legacy contaminants in aquatic environments; however, the biological effects of these compounds on resident fishes remain largely unknown. High throughput methodologies were employed to establish partial transcriptomes for three wild-caught, non-model fish species; smallmouth bass (Micropterus dolomieu), white sucker (Catostomus commersonii) and brown bullhead (Ameiurus nebulosus). Sequences from these transcriptome databases were utilized in the development of a custom nCounter CodeSet that allowed for direct multiplexed measurement of 50 transcript abundance endpoints in liver tissue. Sequence information was also utilized in the development of quantitative real-time PCR (qPCR) primers. Cross-species hybridization allowed the smallmouth bass nCounter CodeSet to be used for quantitative transcript abundance analysis of an additional non-model species, largemouth bass (Micropterus salmoides). We validated the nCounter analysis data system with qPCR for a subset of genes and confirmed concordant results. Changes in transcript abundance biomarkers between sexes and seasons were evaluated to provide baseline data on transcript modulation for each species of interest. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Environmental Science | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 13 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 August 2016.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Comparative Biochemistry and Physiology Part D: Genomics and Proteomics
#407
of 536 outputs
Outputs of similar age
#327,293
of 370,090 outputs
Outputs of similar age from Comparative Biochemistry and Physiology Part D: Genomics and Proteomics
#15
of 19 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 536 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% 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 370,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.