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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MirSNP, a database of polymorphisms altering miRNA target sites, identifies miRNA-related SNPs in GWAS SNPs and eQTLs
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-661 |
| Pubmed ID | |
| Authors |
Chenxing Liu, Fuquan Zhang, Tingting Li, Ming Lu, Lifang Wang, Weihua Yue, Dai Zhang |
| Abstract |
Numerous single nucleotide polymorphisms (SNPs) associated with complex diseases have been identified by genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) studies. However, few of these SNPs have explicit biological functions. Recent studies indicated that the SNPs within the 3'UTR regions of susceptibility genes could affect complex traits/diseases by affecting the function of miRNAs. These 3'UTR SNPs are functional candidates and therefore of interest to GWAS and eQTL researchers. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 14% |
| United States | 1 | 14% |
| France | 1 | 14% |
| Japan | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Netherlands | 1 | <1% |
| Chile | 1 | <1% |
| Brazil | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Qatar | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Unknown | 156 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 24% |
| Researcher | 33 | 20% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Other | 31 | 19% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 34% |
| Biochemistry, Genetics and Molecular Biology | 49 | 29% |
| Medicine and Dentistry | 14 | 8% |
| Computer Science | 6 | 4% |
| Neuroscience | 3 | 2% |
| Other | 9 | 5% |
| Unknown | 29 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 October 2020.
All research outputs
#4,400,451
of 22,687,320 outputs
Outputs from BMC Genomics
#1,806
of 10,616 outputs
Outputs of similar age
#45,617
of 276,424 outputs
Outputs of similar age from BMC Genomics
#72
of 379 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 276,424 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 83% of its contemporaries.
We're also able to compare this research output to 379 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.