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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Profiling microRNAs in lung tissue from pigs infected with Actinobacillus pleuropneumoniae
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-459 |
| Pubmed ID | |
| Authors |
Agnieszka Podolska, Christian Anthon, Mads Bak, Niels Tommerup, Kerstin Skovgaard, Peter MH Heegaard, Jan Gorodkin, Susanna Cirera, Merete Fredholm |
| Abstract |
MicroRNAs (miRNAs) are a class of non-protein-coding genes that play a crucial regulatory role in mammalian development and disease. Whereas a large number of miRNAs have been annotated at the structural level during the latest years, functional annotation is sparse. Actinobacillus pleuropneumoniae (APP) causes serious lung infections in pigs. Severe damage to the lungs, in many cases deadly, is caused by toxins released by the bacterium and to some degree by host mediated tissue damage. However, understanding of the role of microRNAs in the course of this infectious disease in porcine is still very limited. |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Finland | 1 | 3% |
| Netherlands | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 34% |
| Researcher | 8 | 23% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 57% |
| Biochemistry, Genetics and Molecular Biology | 8 | 23% |
| Medicine and Dentistry | 2 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 2 | 6% |
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 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#151,001
of 169,179 outputs
Outputs of similar age from BMC Genomics
#108
of 124 outputs
Altmetric has tracked 22,678,224 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 10,614 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 169,179 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 124 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.