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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and characterization of microRNAs in white and brown alpaca skin
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-555 |
| Pubmed ID | |
| Authors |
Xue Tian, Junbing Jiang, Ruiwen Fan, Haidong Wang, Xiaolin Meng, Xiaoyan He, Junping He, Hongquan Li, Jianjun Geng, Xiuju Yu, Yunfei Song, Danli Zhang, Jianbo Yao, George W Smith, Changsheng Dong |
| Abstract |
AB BACKGROUND: MicroRNAs (miRNAs) are small, non-coding 21-25 nt RNA molecules that play an important role in regulating gene expression. Little is known about the expression profiles and functions of miRNAs in skin and their role in pigmentation. Alpacas have more than 22 natural coat colors, more than any other fiber producing species. To better understand the role of miRNAs in control of coat color we performed a comprehensive analysis of miRNA expression profiles in skin of white versus brown alpacas. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 26 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 14% |
| Researcher | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 8 | 29% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 46% |
| Medicine and Dentistry | 4 | 14% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 October 2012.
All research outputs
#13,873,556
of 22,681,577 outputs
Outputs from BMC Genomics
#5,318
of 10,613 outputs
Outputs of similar age
#97,834
of 174,267 outputs
Outputs of similar age from BMC Genomics
#73
of 140 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 174,267 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.