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Mendeley readers
Attention Score in Context
| Title |
Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-226 |
| Pubmed ID | |
| Authors |
Xiaogang Cui, Yali Hou, Shaohua Yang, Yan Xie, Shengli Zhang, Yuan Zhang, Qin Zhang, Xuemei Lu, George E Liu, Dongxiao Sun |
| Abstract |
Recently, RNA sequencing (RNA-seq) has rapidly emerged as a major transcriptome profiling system. Elucidation of the bovine mammary gland transcriptome by RNA-seq is essential for identifying candidate genes that contribute to milk composition traits in dairy cattle. |
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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 98 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 23% |
| Researcher | 19 | 19% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 54% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Veterinary Science and Veterinary Medicine | 6 | 6% |
| Computer Science | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 26 | 26% |
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 24 March 2014.
All research outputs
#20,224,618
of 22,749,166 outputs
Outputs from BMC Genomics
#9,262
of 10,636 outputs
Outputs of similar age
#191,484
of 223,836 outputs
Outputs of similar age from BMC Genomics
#130
of 155 outputs
Altmetric has tracked 22,749,166 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 10,636 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 223,836 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 155 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.