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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CGAP: a new comprehensive platform for the comparative analysis of chloroplast genomes
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-95 |
| Pubmed ID | |
| Authors |
Jinkui Cheng, Xu Zeng, Guomin Ren, Zhihua Liu |
| Abstract |
Chloroplast is an essential organelle in plants which contains independent genome. Chloroplast genomes have been widely used for plant phylogenetic inference recently. The number of complete chloroplast genomes increases rapidly with the development of various genome sequencing projects. However, no comprehensive platform or tool has been developed for the comparative and phylogenetic analysis of chloroplast genomes. Thus, we constructed a comprehensive platform for the comparative and phylogenetic analysis of complete chloroplast genomes which was named as chloroplast genome analysis platform (CGAP). |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 59 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 31% |
| Student > Ph. D. Student | 13 | 20% |
| Student > Postgraduate | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 54% |
| Biochemistry, Genetics and Molecular Biology | 14 | 22% |
| Computer Science | 3 | 5% |
| Chemistry | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 6 | 9% |
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 24 January 2014.
All research outputs
#6,389,271
of 22,701,287 outputs
Outputs from BMC Bioinformatics
#2,469
of 7,254 outputs
Outputs of similar age
#53,740
of 196,101 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 146 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 196,101 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 71% of its contemporaries.
We're also able to compare this research output to 146 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 65% of its contemporaries.