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X Demographics
Mendeley readers
Attention Score in Context
| Title |
De novo assembly of the chimpanzee transcriptome from NextGen mRNA sequences
|
|---|---|
| Published in |
Giga Science, April 2015
|
| DOI | 10.1186/s13742-015-0061-x |
| Pubmed ID | |
| Authors |
Mnirnal D Maudhoo, Jacob D Madison, Robert B Norgren |
| Abstract |
Common chimpanzees (Pan troglodytes) and bonobos (Pan paniscus) are the species most closely related to humans. For this reason, it is especially important to have complete and accurate chimpanzee nucleotide and protein sequences to understand how humans evolved their unique capabilities. We provide transcriptome data from four untransformed cell types derived from the reference Pan troglodytes, "Clint", to better annotate the chimpanzee genome and provide empirical validation for proposed gene models of this important species. RNA was extracted from primary cells cultured from four tissues: skin, adipose stroma, vascular smooth muscle and skeletal muscle. These four RNA samples were sequenced on the Illumina HiSeq 2000 platform. Sequences were deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA). Transcripts were assembled, annotated and deposited in the NCBI Transcriptome Shotgun Assembly (TSA) database. We have provided a high quality annotation of 44,275 transcripts with full-length coding sequence (CDS). This set represented a total of 10,110 unique genes, thus providing empirical support for their existence. This dataset can be used to improve the annotation of the Pan troglodytes genome. |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 3 | 38% |
| United States | 2 | 25% |
| France | 1 | 13% |
| Hong Kong | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Student > Master | 6 | 25% |
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 54% |
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 July 2015.
All research outputs
#5,338,695
of 25,373,627 outputs
Outputs from Giga Science
#830
of 1,167 outputs
Outputs of similar age
#62,922
of 279,688 outputs
Outputs of similar age from Giga Science
#13
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 28th percentile – i.e., 28% 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 279,688 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 77% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.