| Title |
Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, July 2018
|
| DOI | 10.1007/s00216-018-1244-y |
| Pubmed ID | |
| Authors |
Surya P. Singh, Soumavo Mukherjee, Luis H. Galindo, Peter T. C. So, Ramachandra Rao Dasari, Uzma Zubair Khan, Raghuraman Kannan, Anandhi Upendran, Jeon Woong Kang |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Researcher | 7 | 12% |
| Student > Ph. D. Student | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 24 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 19% |
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Physics and Astronomy | 5 | 9% |
| Chemical Engineering | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 26 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 98. 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 28 August 2020.
All research outputs
#441,129
of 25,768,270 outputs
Outputs from Analytical & Bioanalytical Chemistry
#17
of 9,739 outputs
Outputs of similar age
#9,342
of 342,379 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#2
of 177 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,739 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 99% 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 342,379 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.