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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of microRNAs in the pathogenesis of MMPi-induced skin fibrodysplasia
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-338 |
| Pubmed ID | |
| Authors |
Daniel P Tonge, Jonathan D Tugwood, Janet Kelsall, Timothy W Gant |
| Abstract |
Matrix metalloproteinases (MMPs) are a family of proteolytic enzymes involved in extracellular matrix (ECM) homeostasis. MMPs have been an attractive pharmacological target for a number of indications. However, development has been hampered by the propensity of compounds targeting these enzymes to cause connective-tissue pathologies. The broad-spectrum MMP-inhibitor (MMPi) AZM551248 has been shown to induce such effects in the dog. Histopathological changes were consistent with fibrodysplasia (FD), characterised by fibroblast proliferation and the deposition of collagen in the subcutaneous tissues. We conducted a time-course study administering 20mg/kg/day AZM551248 between 4 and 17 days. Cervical subcutaneous tissue and plasma were sampled during the time-course. miRNA expression profiles in subcutaneous skin specimens following the administration of AZM551248 were determined by high-throughput-sequencing. |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Researcher | 3 | 15% |
| Professor > Associate Professor | 3 | 15% |
| Student > Master | 2 | 10% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 5 | 25% |
| Medicine and Dentistry | 5 | 25% |
| Agricultural and Biological Sciences | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
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 20 May 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#183,373
of 208,744 outputs
Outputs of similar age from BMC Genomics
#156
of 171 outputs
Altmetric has tracked 25,374,647 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 208,744 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 171 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.