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Mendeley readers
Attention Score in Context
| Title |
Deep Sequencing of Chicken microRNAs
|
|---|---|
| Published in |
BMC Genomics, April 2008
|
| DOI | 10.1186/1471-2164-9-185 |
| Pubmed ID | |
| Authors |
Joan Burnside, Ming Ouyang, Amy Anderson, Erin Bernberg, Cheng Lu, Blake C Meyers, Pamela J Green, Milos Markis, Grace Isaacs, Emily Huang, Robin W Morgan |
| Abstract |
The use of new, deep sequencing technologies has greatly accelerated microRNA discovery. We have applied this approach to the identification of chicken microRNAs and to the comparison of microRNAs in chicken embryo fibroblasts (CEF) infected with Marek's disease virus (MDV) to those present in uninfected CEF. |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 7% |
| India | 2 | 2% |
| Germany | 2 | 2% |
| Canada | 2 | 2% |
| Peru | 1 | <1% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| China | 1 | <1% |
| Unknown | 102 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 33% |
| Student > Ph. D. Student | 29 | 24% |
| Professor > Associate Professor | 11 | 9% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 5 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 67% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Medicine and Dentistry | 9 | 8% |
| Immunology and Microbiology | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 4 | 3% |
| Unknown | 6 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 February 2009.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#32,601
of 92,887 outputs
Outputs of similar age from BMC Genomics
#18
of 56 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 58% of its peers.
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 92,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.