You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Centering, scaling, and transformations: improving the biological information content of metabolomics data
|
|---|---|
| Published in |
BMC Genomics, June 2006
|
| DOI | 10.1186/1471-2164-7-142 |
| Pubmed ID | |
| Authors |
Robert A van den Berg, Huub CJ Hoefsloot, Johan A Westerhuis, Age K Smilde, Mariët J van der Werf |
| Abstract |
Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological interpretation. For instance, 5000-fold differences in concentration for different metabolites are present in a metabolomics data set, while these differences are not proportional to the biological relevance of these metabolites. However, data analysis methods are not able to make this distinction. Data pretreatment methods can correct for aspects that hinder the biological interpretation of metabolomics data sets by emphasizing the biological information in the data set and thus improving their biological interpretability. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| Canada | 1 | 13% |
| Australia | 1 | 13% |
| India | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 38% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,386 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 17 | <1% |
| United States | 14 | <1% |
| United Kingdom | 11 | <1% |
| Spain | 8 | <1% |
| Brazil | 7 | <1% |
| Portugal | 5 | <1% |
| Netherlands | 5 | <1% |
| Italy | 4 | <1% |
| Canada | 4 | <1% |
| Other | 26 | 1% |
| Unknown | 2285 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 623 | 26% |
| Researcher | 418 | 18% |
| Student > Master | 379 | 16% |
| Student > Bachelor | 157 | 7% |
| Student > Doctoral Student | 133 | 6% |
| Other | 294 | 12% |
| Unknown | 382 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 566 | 24% |
| Chemistry | 367 | 15% |
| Biochemistry, Genetics and Molecular Biology | 313 | 13% |
| Medicine and Dentistry | 109 | 5% |
| Engineering | 95 | 4% |
| Other | 429 | 18% |
| Unknown | 507 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 13 February 2024.
All research outputs
#1,686,561
of 25,358,192 outputs
Outputs from BMC Genomics
#334
of 11,226 outputs
Outputs of similar age
#2,807
of 82,928 outputs
Outputs of similar age from BMC Genomics
#2
of 33 outputs
Altmetric has tracked 25,358,192 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,226 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 82,928 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 96% of its contemporaries.
We're also able to compare this research output to 33 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 96% of its contemporaries.