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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Imbalances between Matrix Metalloproteinases (MMPs) and Tissue Inhibitor of Metalloproteinases (TIMPs) in Maternal Serum during Preterm Labor
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049042 |
| Pubmed ID | |
| Authors |
Inge Tency, Hans Verstraelen, Ivo Kroes, Gabriële Holtappels, Bruno Verhasselt, Mario Vaneechoutte, Rita Verhelst, Marleen Temmerman |
| Abstract |
Matrix metalloproteinases (MMPs) are involved in remodeling of the extracellular matrix (ECM) during pregnancy and parturition. Aberrant ECM degradation by MMPs or an imbalance between MMPs and their tissue inhibitors (TIMPs) have been implicated in the pathogenesis of preterm labor, however few studies have investigated MMPs or TIMPs in maternal serum. Therefore, the purpose of this study was to determine serum concentrations of MMP-3, MMP-9 and all four TIMPs as well as MMP:TIMP ratios during term and preterm labor. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 7 | 12% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 31% |
| Agricultural and Biological Sciences | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Immunology and Microbiology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 15 | 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 27 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from PLOS ONE
#172,801
of 193,650 outputs
Outputs of similar age
#163,055
of 183,504 outputs
Outputs of similar age from PLOS ONE
#4,139
of 4,904 outputs
Altmetric has tracked 22,685,926 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 193,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 183,504 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 4,904 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.