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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expansion of ruminant-specific microRNAs shapes target gene expression divergence between ruminant and non-ruminant species
|
|---|---|
| Published in |
BMC Genomics, September 2013
|
| DOI | 10.1186/1471-2164-14-609 |
| Pubmed ID | |
| Authors |
Hua Bao, Arun Kommadath, Xu Sun, Yan Meng, Adriano S Arantes, Graham S Plastow, Le Luo Guan, Paul Stothard |
| Abstract |
Understanding how species-specific microRNAs (miRNAs) contribute to species-specific phenotypes is a central topic in biology. This study aimed to elucidate the role of ruminant-specific miRNAs in shaping mRNA expression divergence between ruminant and non-ruminant species. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 3% |
| Germany | 1 | 3% |
| South Africa | 1 | 3% |
| Unknown | 37 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 9 | 23% |
| Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Postgraduate | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 48% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Computer Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from BMC Genomics
#9,251
of 10,626 outputs
Outputs of similar age
#173,631
of 198,346 outputs
Outputs of similar age from BMC Genomics
#122
of 145 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 198,346 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.