| Title |
Normalization techniques for PARAFAC modeling of urine metabolomic data
|
|---|---|
| Published in |
Metabolomics, June 2016
|
| DOI | 10.1007/s11306-016-1059-9 |
| Authors |
Alžběta Gardlo, Age K. Smilde, Karel Hron, Marcela Hrdá, Radana Karlíková, David Friedecký, Tomáš Adam |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 21% |
| Researcher | 4 | 17% |
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Mathematics | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Computer Science | 2 | 8% |
| Other | 6 | 25% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2017.
All research outputs
#12,767,740
of 22,880,691 outputs
Outputs from Metabolomics
#566
of 1,296 outputs
Outputs of similar age
#173,705
of 352,800 outputs
Outputs of similar age from Metabolomics
#15
of 39 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 54% 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 352,800 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 50% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.