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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of serum protein glycosylation by a differential lectin immunosorbant assay (dLISA)
|
|---|---|
| Published in |
Clinical Proteomics, September 2013
|
| DOI | 10.1186/1559-0275-10-12 |
| Pubmed ID | |
| Authors |
Danni Li, Hanching Chiu, Hui Zhang, Daniel W Chan |
| Abstract |
Lectin immunosorbant assays (LISAs) have been widely used for analyzing protein glycosylation. However, the analysis of serum samples by LISAs could suffer from high sample-dependent background noise. The aim of this study is to develop a differential lectin immunosorbant assay (dLISA) with reduced background interferences. |
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 % |
|---|---|---|
| United Kingdom | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 33% |
| Student > Ph. D. Student | 3 | 20% |
| Student > Doctoral Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 47% |
| Agricultural and Biological Sciences | 3 | 20% |
| Engineering | 2 | 13% |
| Immunology and Microbiology | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
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 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from Clinical Proteomics
#173
of 280 outputs
Outputs of similar age
#121,699
of 197,929 outputs
Outputs of similar age from Clinical Proteomics
#3
of 4 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 29th percentile – i.e., 29% 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 197,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.