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Attention Score in Context
Title |
Predictive urinary biomarkers for steroid-resistant and steroid-sensitive focal segmental glomerulosclerosis using high resolution mass spectrometry and multivariate statistical analysis
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Published in |
BMC Nephrology, September 2014
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DOI | 10.1186/1471-2369-15-141 |
Pubmed ID | |
Authors |
Shiva Kalantari, Mohsen Nafar, Dorothea Rutishauser, Shiva Samavat, Mostafa Rezaei-Tavirani, Hongqian Yang, Roman A Zubarev |
Abstract |
Focal segmental glomerulosclerosis (FSGS) is a glomerular scarring disease diagnosed mostly by kidney biopsy. Since there is currently no diagnostic test that can accurately predict steroid responsiveness in FSGS, prediction of the responsiveness of patients to steroid therapy with noninvasive means has become a critical issue. In the present study urinary proteomics was used as a noninvasive tool to discover potential predictive biomarkers. |
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 % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Student > Ph. D. Student | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Other | 3 | 13% |
Student > Bachelor | 2 | 8% |
Other | 3 | 13% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 42% |
Agricultural and Biological Sciences | 5 | 21% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Immunology and Microbiology | 1 | 4% |
Chemistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 6 | 25% |
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 06 June 2015.
All research outputs
#13,411,842
of 22,761,738 outputs
Outputs from BMC Nephrology
#1,043
of 2,462 outputs
Outputs of similar age
#112,337
of 237,378 outputs
Outputs of similar age from BMC Nephrology
#21
of 49 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,462 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 237,378 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 51% of its contemporaries.
We're also able to compare this research output to 49 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 55% of its contemporaries.