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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using fluorescence correlation spectroscopy (FCS) for IFN-g detection: A preliminary study
|
|---|---|
| Published in |
Immunotechnology, March 2014
|
| DOI | 10.1016/j.jim.2014.03.016 |
| Pubmed ID | |
| Authors |
Chen Shen, Martin Knapp, Martin Gerald Puchinger, Aamir Shahzad, Erwin Gaubitzer, A Dong Shen, Gottfried Koehler |
| Abstract |
Nowadays, enzyme-linked immunosorbent assay (ELISA) based detection of Mycobacterium tuberculosis (M. tuberculosis) antigen triggered interferon-gamma (IFN-g) secretion by blood T cells displays an improved diagnostic value for M. tuberculosis infection. Applications of fluorescence correlation spectroscopy (FCS) have been explored in various subfields of medicine and molecular biology, including detection of a certain biomarker in liquid instead of ELISA. Here, we present a preliminary study of detecting IFN-g using FCS-based technique. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Master | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Chemistry | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Computer Science | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
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 24 July 2014.
All research outputs
#20,014,336
of 25,461,852 outputs
Outputs from Immunotechnology
#4,506
of 4,818 outputs
Outputs of similar age
#166,860
of 238,480 outputs
Outputs of similar age from Immunotechnology
#22
of 29 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,818 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 5th percentile – i.e., 5% 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 238,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.