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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Fourier-transform infrared spectroscopy in the diagnosis of rheumatoid arthritis: a pilot study
|
|---|---|
| Published in |
Molecular Biology Reports, September 2016
|
| DOI | 10.1007/s11033-016-4079-7 |
| Pubmed ID | |
| Authors |
Lukasz Lechowicz, Magdalena Chrapek, Jozef Gaweda, Mariusz Urbaniak, Iwona Konieczna |
| Abstract |
Rheumatoid arthritis is an autoimmune inflammatory disease leading to joint cartilage, bone degradation and limitation of mobility. Diagnosis of RA is difficult and complex. There are also no effective methods for clear discrimination between RA patients and non-RA individuals. In this work we use IR spectroscopy to differentiate RA patients and blood donors' sera. We found differences between investigated sera (RA and non-RA) in range of 3000-2800 and 1800-800 cm(-1) (W1-W5 regions). Based on mathematical analysis we developed a K-NN model characterized by 85 % of sensitivity and 100 % of specificity. Also we found that, wavenumber 1424 cm(-1), comprising in W3 region, was the most effective in human sera distinguishing. We conclude that IR spectroscopy may serve as a fast and easy method useful in RA serology. |
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 States | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Agricultural and Biological Sciences | 4 | 8% |
| Chemistry | 4 | 8% |
| Engineering | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Other | 12 | 24% |
| Unknown | 20 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 May 2018.
All research outputs
#6,984,197
of 22,896,955 outputs
Outputs from Molecular Biology Reports
#349
of 2,928 outputs
Outputs of similar age
#105,528
of 320,736 outputs
Outputs of similar age from Molecular Biology Reports
#5
of 22 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,928 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 87% 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 320,736 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 66% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.