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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of novel transcripts and noncoding RNAs in bovine skin by deep next generation sequencing
|
|---|---|
| Published in |
BMC Genomics, November 2013
|
| DOI | 10.1186/1471-2164-14-789 |
| Pubmed ID | |
| Authors |
Rosemarie Weikard, Frieder Hadlich, Christa Kuehn |
| Abstract |
Deep RNA sequencing (RNAseq) has opened a new horizon for understanding global gene expression. The functional annotation of non-model mammalian genomes including bovines is still poor compared to that of human and mouse. This particularly applies to tissues without direct significance for milk and meat production, like skin, in spite of its multifunctional relevance for the individual. Thus, applying an RNAseq approach, we performed a whole transcriptome analysis of pigmented and nonpigmented bovine skin to describe the comprehensive transcript catalogue of this tissue. |
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 % |
|---|---|---|
| India | 1 | 50% |
| France | 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Mexico | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 113 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 31% |
| Student > Ph. D. Student | 30 | 25% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 8 | 7% |
| Student > Postgraduate | 4 | 3% |
| Other | 14 | 12% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 51% |
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Computer Science | 9 | 8% |
| Veterinary Science and Veterinary Medicine | 3 | 3% |
| Environmental Science | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 16 | 14% |
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 30 November 2013.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from BMC Genomics
#5,391
of 11,244 outputs
Outputs of similar age
#120,883
of 224,523 outputs
Outputs of similar age from BMC Genomics
#95
of 225 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 224,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.