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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive annotation of microRNA expression profiles
|
|---|---|
| Published in |
BMC Genomic Data, December 2013
|
| DOI | 10.1186/1471-2156-14-120 |
| Pubmed ID | |
| Authors |
Bo Sun, Fei Yang, Fei-Hu Hu, Ning-Ping Huang, Zhong-Dang Xiao |
| Abstract |
MicroRNAs (miRNAs) regulate many biological processes by post-translational gene silencing. Analysis of miRNA expression profiles is a reliable method for investigating particular biological processes due to the stability of miRNA and the development of advanced sequencing methods. However, this approach is limited by the broad specificity of miRNAs, which may target several mRNAs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| Czechia | 1 | 2% |
| Slovenia | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 34% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Other | 11 | 23% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 36% |
| Medicine and Dentistry | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Neuroscience | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 6 | 13% |
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 31 December 2013.
All research outputs
#4,617,957
of 25,371,288 outputs
Outputs from BMC Genomic Data
#147
of 1,204 outputs
Outputs of similar age
#50,747
of 320,456 outputs
Outputs of similar age from BMC Genomic Data
#4
of 17 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 320,456 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.