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Proteomic analysis of human placental syncytiotrophoblast microvesicles in preeclampsia

Overview of attention for article published in Clinical Proteomics, November 2014
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Title
Proteomic analysis of human placental syncytiotrophoblast microvesicles in preeclampsia
Published in
Clinical Proteomics, November 2014
DOI 10.1186/1559-0275-11-40
Pubmed ID
Authors

Sonia Baig, Narasimhan Kothandaraman, Jayapal Manikandan, Li Rong, Kim Huey EE, Jeffrey Hill, Chin Wee Lai, Wan Yu Tan, Felicia Yeoh, Anita Kale, Lin Lin Su, Arijit Biswas, Sheila Vasoo, Mahesh Choolani

Abstract

Placental syncytiotrophoblast microvesicles (STBM) are shed into the maternal circulation during normal pregnancy. STBM circulate in significantly increased amounts in preeclampsia (PE) and are considered to be among contributors to the exaggerated proinflammatory, procoagulant state of PE. However, protein composition of STBM in normal pregnancy and PE remains unknown. We therefore sought to determine the protein components of STBM and whether STBM protein expressions differ in preeclamptic and normal pregnancies. Patients with PE (n = 3) and normal pregnant controls (n = 6) were recruited. STBM were prepared from placental explant culture supernatant. STBM proteins were analyzed by a combination of 1D Gel-LC-MS/MS. Protein expressions levels were quantified using spectral counts and validated by immunohistochemistry.

X Demographics

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 12 15%
Student > Bachelor 12 15%
Researcher 11 14%
Student > Doctoral Student 6 7%
Other 8 10%
Unknown 18 22%
Readers by discipline Count As %
Medicine and Dentistry 20 25%
Biochemistry, Genetics and Molecular Biology 12 15%
Agricultural and Biological Sciences 12 15%
Neuroscience 4 5%
Immunology and Microbiology 2 2%
Other 10 12%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2014.
All research outputs
#14,790,240
of 22,771,140 outputs
Outputs from Clinical Proteomics
#163
of 283 outputs
Outputs of similar age
#203,430
of 362,502 outputs
Outputs of similar age from Clinical Proteomics
#4
of 6 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 38th percentile – i.e., 38% 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 362,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.