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Mendeley readers
Attention Score in Context
| Title |
RNA sequencing read depth requirement for optimal transcriptome coverage in Hevea brasiliensis
|
|---|---|
| Published in |
BMC Research Notes, February 2014
|
| DOI | 10.1186/1756-0500-7-69 |
| Pubmed ID | |
| Authors |
Keng-See Chow, Ahmad-Kamal Ghazali, Chee-Choong Hoh, Zainorlina Mohd-Zainuddin |
| Abstract |
One of the concerns of assembling de novo transcriptomes is determining the amount of read sequences required to ensure a comprehensive coverage of genes expressed in a particular sample. In this report, we describe the use of Illumina paired-end RNA-Seq (PE RNA-Seq) reads from Hevea brasiliensis (rubber tree) bark to devise a transcript mapping approach for the estimation of the read amount needed for deep transcriptome coverage. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 2 | 67% |
| Cameroon | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Japan | 2 | 2% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 98 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 28% |
| Researcher | 24 | 22% |
| Student > Master | 16 | 15% |
| Student > Bachelor | 7 | 7% |
| Other | 7 | 7% |
| Other | 18 | 17% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 62% |
| Biochemistry, Genetics and Molecular Biology | 23 | 21% |
| Computer Science | 2 | 2% |
| Engineering | 2 | 2% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 February 2014.
All research outputs
#3,098,595
of 22,743,667 outputs
Outputs from BMC Research Notes
#433
of 4,261 outputs
Outputs of similar age
#38,925
of 307,251 outputs
Outputs of similar age from BMC Research Notes
#14
of 120 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,261 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 307,251 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 87% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.