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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and characterization of microRNAs in the ovaries of multiple and uniparous goats (Capra hircus) during follicular phase
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-339 |
| Pubmed ID | |
| Authors |
Ying-Hui Ling, Chun-Huan Ren, Xiao-Fei Guo, Li-Na Xu, Ya-Feng Huang, Jian-Chuan Luo, Yun-Hai Zhang, Xiao-Rong Zhang, Zi-Jun Zhang |
| Abstract |
Superior kidding rate is an important economic trait in production of meat goat, and ovulation rate is the precondition of kidding rate. MicroRNAs (miRNAs) play critical roles in almost all ovarian biological processes, including folliculogenesis, follicle development, follicle atresia, luteal development and regression. To find out the different ovarian activity and follicle recruitment with miRNA-mediated posttranscriptional regulation, the small RNAs expressed pattern in the ovarian tissues of multiple and uniparous Anhui White goats during follicular phase was analyzed using Solexa sequencing data. |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Doctoral Student | 3 | 15% |
| Other | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Other | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 60% |
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Veterinary Science and Veterinary Medicine | 2 | 10% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 1 | 5% |
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 06 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from BMC Genomics
#9,263
of 10,637 outputs
Outputs of similar age
#193,293
of 227,400 outputs
Outputs of similar age from BMC Genomics
#159
of 192 outputs
Altmetric has tracked 22,755,127 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 10,637 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.
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We're also able to compare this research output to 192 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.