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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Species-specific alternative splicing leads to unique expression of sno-lncRNAs
|
|---|---|
| Published in |
BMC Genomics, April 2014
|
| DOI | 10.1186/1471-2164-15-287 |
| Pubmed ID | |
| Authors |
Xiao-Ou Zhang, Qing-Fei Yin, Hai-Bin Wang, Yang Zhang, Tian Chen, Ping Zheng, Xuhua Lu, Ling-Ling Chen, Li Yang |
| Abstract |
Intron-derived long noncoding RNAs with snoRNA ends (sno-lncRNAs) are highly expressed from the imprinted Prader-Willi syndrome (PWS) region on human chromosome 15. However, sno-lncRNAs from other regions of the human genome or from other genomes have not yet been documented. |
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 % |
|---|---|---|
| France | 2 | 67% |
| Unknown | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| China | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 78 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 32% |
| Researcher | 11 | 13% |
| Student > Master | 11 | 13% |
| Student > Postgraduate | 6 | 7% |
| Professor | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 48% |
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Neuroscience | 3 | 4% |
| Medicine and Dentistry | 2 | 2% |
| Computer Science | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 August 2022.
All research outputs
#2,253,357
of 23,130,383 outputs
Outputs from BMC Genomics
#658
of 10,709 outputs
Outputs of similar age
#21,594
of 204,368 outputs
Outputs of similar age from BMC Genomics
#7
of 165 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 204,368 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 89% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.