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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unraveling the nuclear and chloroplast genomes of an agar producing red macroalga, Gracilaria changii (Rhodophyta, Gracilariales)
|
|---|---|
| Published in |
Genomics, September 2017
|
| DOI | 10.1016/j.ygeno.2017.09.003 |
| Pubmed ID | |
| Authors |
Chai-Ling Ho, Wei-Kang Lee, Ee-Leen Lim |
| Abstract |
Agar and agarose have wide applications in food and pharmaceutical industries. Knowledge on the genome of red seaweeds that produce them is still lacking. To fill the gap in genome analyses of these red algae, we have sequenced the nuclear and organellar genomes of an agarophyte, Gracilaria changii. The partial nuclear genome sequence of G. changii has a total length of 35.8Mb with 10,912 predicted protein coding sequences. Only 39.4% predicted proteins were found to have significant matches to protein sequences in SwissProt. The chloroplast genome of G. changii is 183,855bp with a total of 201 open reading frames (ORFs), 29 tRNAs and 3 rRNAs predicted. Five genes: ssrA, leuC and leuD CP76_p173 (orf139) and pbsA were absent in the chloroplast genome of G. changii. The genome information is valuable in accelerating functional studies of individual genes and resolving evolutionary relationship of red seaweeds. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 18 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Environmental Science | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 19 | 43% |
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 16 November 2019.
All research outputs
#7,359,319
of 25,382,440 outputs
Outputs from Genomics
#1,992
of 5,923 outputs
Outputs of similar age
#107,731
of 323,159 outputs
Outputs of similar age from Genomics
#4
of 25 outputs
Altmetric has tracked 25,382,440 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 5,923 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 65% 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 323,159 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 65% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.