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Mendeley readers
Attention Score in Context
| Title |
First trimester serum markers to predict preeclampsia
|
|---|---|
| Published in |
Wiener Medizinische Wochenschrift, May 2012
|
| DOI | 10.1007/s10354-012-0072-5 |
| Pubmed ID | |
| Authors |
Berthold Huppertz, Rie Kawaguchi |
| Abstract |
A variety of different biomarkers to predict preeclampsia have been identified in the last ten years. Most of these markers have been detected and quantified in maternal blood, and their potency to predict preeclampsia prior to the onset of clinical symptoms has been evaluated. The amount of such markers depends on various conditions, including the source of the marker (fetal/placental and/or maternal), the interaction of this marker with other proteins in maternal blood as well as the stability of the markers during freezing and thawing. Here we describe two of the putative early, first trimester biomarkers, placental protein 13 and placental growth factor. There is still the hope that - even in the absence of any treatment regimen today - such predictive markers will help to speed the development of a cure for preeclampsia. |
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 % |
|---|---|---|
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Master | 5 | 22% |
| Student > Bachelor | 2 | 9% |
| Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 57% |
| Agricultural and Biological Sciences | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 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 10 December 2012.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Wiener Medizinische Wochenschrift
#358
of 436 outputs
Outputs of similar age
#150,574
of 165,678 outputs
Outputs of similar age from Wiener Medizinische Wochenschrift
#10
of 12 outputs
Altmetric has tracked 23,849,058 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 436 research outputs from this source. They receive a mean Attention Score of 4.9. 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 165,678 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 12 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.