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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LincSNP: a database of linking disease-associated SNPs to human large intergenic non-coding RNAs
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-152 |
| Pubmed ID | |
| Authors |
Shangwei Ning, Zuxianglan Zhao, Jingrun Ye, Peng Wang, Hui Zhi, Ronghong Li, Tingting Wang, Xia Li |
| Abstract |
Genome-wide association studies (GWAS) have successfully identified a large number of single nucleotide polymorphisms (SNPs) that are associated with a wide range of human diseases. However, many of these disease-associated SNPs are located in non-coding regions and have remained largely unexplained. Recent findings indicate that disease-associated SNPs in human large intergenic non-coding RNA (lincRNA) may lead to susceptibility to diseases through their effects on lincRNA expression. There is, therefore, a need to specifically record these SNPs and annotate them as potential candidates for disease. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 8% |
| United Kingdom | 1 | 8% |
| India | 1 | 8% |
| Germany | 1 | 8% |
| Netherlands | 1 | 8% |
| United States | 1 | 8% |
| Norway | 1 | 8% |
| France | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 3% |
| United States | 2 | 3% |
| Italy | 1 | 1% |
| Hungary | 1 | 1% |
| Denmark | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 67 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 8 | 11% |
| Student > Postgraduate | 5 | 7% |
| Other | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 40% |
| Biochemistry, Genetics and Molecular Biology | 18 | 24% |
| Medicine and Dentistry | 6 | 8% |
| Computer Science | 5 | 7% |
| Immunology and Microbiology | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 12 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 August 2014.
All research outputs
#2,379,705
of 22,862,742 outputs
Outputs from BMC Bioinformatics
#725
of 7,294 outputs
Outputs of similar age
#25,278
of 226,462 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 150 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,294 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 226,462 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 88% of its contemporaries.
We're also able to compare this research output to 150 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.