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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRdSNP: a database of disease-associated SNPs and microRNA target sites on 3'UTRs of human genes
|
|---|---|
| Published in |
BMC Genomics, January 2012
|
| DOI | 10.1186/1471-2164-13-44 |
| Pubmed ID | |
| Authors |
Andrew E Bruno, Li Li, James L Kalabus, Yuzhuo Pan, Aiming Yu, Zihua Hu |
| Abstract |
Single nucleotide polymorphisms (SNPs) can lead to the susceptibility and onset of diseases through their effects on gene expression at the posttranscriptional level. Recent findings indicate that SNPs could create, destroy, or modify the efficiency of miRNA binding to the 3'UTR of a gene, resulting in gene dysregulation. With the rapidly growing number of published disease-associated SNPs (dSNPs), there is a strong need for resources specifically recording dSNPs on the 3'UTRs and their nucleotide distance from miRNA target sites. We present here miRdSNP, a database incorporating three important areas of dSNPs, miRNA target sites, and diseases. |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 107 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 27% |
| Student > Ph. D. Student | 28 | 24% |
| Student > Bachelor | 11 | 10% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Other | 11 | 10% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 41% |
| Biochemistry, Genetics and Molecular Biology | 26 | 23% |
| Medicine and Dentistry | 9 | 8% |
| Computer Science | 5 | 4% |
| Neuroscience | 4 | 3% |
| Other | 5 | 4% |
| Unknown | 19 | 17% |
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 27 January 2012.
All research outputs
#3,020,461
of 22,662,201 outputs
Outputs from BMC Genomics
#1,113
of 10,612 outputs
Outputs of similar age
#25,921
of 246,172 outputs
Outputs of similar age from BMC Genomics
#31
of 278 outputs
Altmetric has tracked 22,662,201 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 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. 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 246,172 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 278 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.