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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolomics Profiling for Identification of Novel Potential Markers in Early Prediction of Preeclampsia
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0098540 |
| Pubmed ID | |
| Authors |
Sylwia Kuc, Maria P. H. Koster, Jeroen L. A. Pennings, Thomas Hankemeier, Ruud Berger, Amy C. Harms, Adrie D. Dane, Peter C. J. I. Schielen, Gerard H. A. Visser, Rob J. Vreeken |
| Abstract |
The first aim was to investigate specific signature patterns of metabolites that are significantly altered in first-trimester serum of women who subsequently developed preeclampsia (PE) compared to healthy pregnancies. The second aim of this study was to examine the predictive performance of the selected metabolites for both early onset [EO-PE] and late onset PE [LO-PE]. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Singapore | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 92 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Researcher | 19 | 19% |
| Student > Bachelor | 13 | 13% |
| Student > Master | 8 | 8% |
| Professor | 5 | 5% |
| Other | 19 | 19% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 26% |
| Agricultural and Biological Sciences | 18 | 18% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Engineering | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 21 | 21% |
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 20 January 2015.
All research outputs
#12,839,523
of 22,757,090 outputs
Outputs from PLOS ONE
#100,034
of 194,183 outputs
Outputs of similar age
#104,435
of 226,521 outputs
Outputs of similar age from PLOS ONE
#2,077
of 4,515 outputs
Altmetric has tracked 22,757,090 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 194,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 48th percentile – i.e., 48% 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 226,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 4,515 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.