You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Detection of Cystatin C biomarker for clinical measurement of renal disease by developed ELISA diagnostic kits
|
---|---|
Published in |
Journal of Translational Medicine, September 2014
|
DOI | 10.1186/1479-5876-12-205 |
Pubmed ID | |
Authors |
Renren Jiang, Chao Xu, Xiaoli Zhou, Tianhao Wang, Gang Yao |
Abstract |
Human cystatin C (HCC) is a potential biomarker for tubular damage and impaired renal function. It is difficult to obtain efficient paired monoclonal antibodies against HCC with low molecular to meet the requirements for clinical application The present study was to establish a stable and repeatable measurement for HCC with self-made monoclonal antibodies (McAbs) and Variable domain of heavy chain of heavy-chain antibody (VHHs) increase the sensitivity. |
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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Algeria | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 19% |
Student > Ph. D. Student | 6 | 17% |
Student > Bachelor | 5 | 14% |
Student > Doctoral Student | 3 | 8% |
Student > Master | 2 | 6% |
Other | 4 | 11% |
Unknown | 9 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 11% |
Agricultural and Biological Sciences | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Chemistry | 3 | 8% |
Veterinary Science and Veterinary Medicine | 2 | 6% |
Other | 7 | 19% |
Unknown | 13 | 36% |
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 12 September 2014.
All research outputs
#22,051,351
of 24,602,766 outputs
Outputs from Journal of Translational Medicine
#3,699
of 4,426 outputs
Outputs of similar age
#211,890
of 248,661 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 81 outputs
Altmetric has tracked 24,602,766 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 4,426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 248,661 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 81 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.