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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Beyond cleaved small RNA targets: unraveling the complexity of plant RNA degradome data
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-15 |
| Pubmed ID | |
| Authors |
Cheng-Yu Hou, Ming-Tsung Wu, Shin-Hua Lu, Yue-Ie Hsing, Ho-Ming Chen |
| Abstract |
Degradation is essential for RNA maturation, turnover, and quality control. RNA degradome sequencing that integrates a modified 5'-rapid amplification of cDNA ends protocol with next-generation sequencing technologies is a high-throughput approach for profiling the 5'-end of uncapped RNA fragments on a genome-wide scale. The primary application of degradome sequencing has been to identify the truncated transcripts that result from endonucleolytic cleavage guided by microRNAs or small interfering RNAs. As many pathways are involved in RNA degradation, degradome data should contain other RNA species besides the cleavage remnants of small RNA targets. Nevertheless, no systematic approaches have been established to explore the hidden complexity of plant degradome. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 80 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 39% |
| Student > Ph. D. Student | 20 | 24% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 7 | 9% |
| Professor > Associate Professor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 63% |
| Biochemistry, Genetics and Molecular Biology | 18 | 22% |
| Computer Science | 3 | 4% |
| Mathematics | 1 | 1% |
| Arts and Humanities | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 6 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 May 2014.
All research outputs
#4,228,394
of 23,881,329 outputs
Outputs from BMC Genomics
#1,657
of 10,793 outputs
Outputs of similar age
#49,098
of 310,968 outputs
Outputs of similar age from BMC Genomics
#82
of 440 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 310,968 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 84% of its contemporaries.
We're also able to compare this research output to 440 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.