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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and profiling of conserved and novel microRNAs from Chinese Qinchuan bovine longissimus thoracis
|
|---|---|
| Published in |
BMC Genomics, January 2013
|
| DOI | 10.1186/1471-2164-14-42 |
| Pubmed ID | |
| Authors |
Jiajie Sun, Mijie Li, Zhuanjian Li, Jing Xue, Xianyong Lan, Chunlei Zhang, Chuzhao Lei, Hong Chen |
| Abstract |
MicroRNAs (miRNAs) are a family of ~22 nucleotide small RNA molecules that regulate gene expression by fully or partially binding to their complementary sequences. Recently, a large number of miRNAs and their expression patterns have been identified in various species. However, to date no miRNAs have been reported to modulate muscle development in beef cattle. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 6% |
| Unknown | 31 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 6 | 18% |
| Student > Master | 5 | 15% |
| Professor > Associate Professor | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Other | 4 | 12% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 61% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Veterinary Science and Veterinary Medicine | 3 | 9% |
| Computer Science | 1 | 3% |
| Unknown | 4 | 12% |
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 18 January 2013.
All research outputs
#15,210,828
of 22,693,205 outputs
Outputs from BMC Genomics
#6,637
of 10,616 outputs
Outputs of similar age
#183,405
of 284,846 outputs
Outputs of similar age from BMC Genomics
#231
of 366 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 284,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.