| Title |
Critical assessment of human metabolic pathway databases: a stepping stone for future integration
|
|---|---|
| Published in |
BMC Systems Biology, October 2011
|
| DOI | 10.1186/1752-0509-5-165 |
| Pubmed ID | |
| Authors |
Miranda D Stobbe, Sander M Houten, Gerbert A Jansen, Antoine HC van Kampen, Perry D Moerland |
| Abstract |
Multiple pathway databases are available that describe the human metabolic network and have proven their usefulness in many applications, ranging from the analysis and interpretation of high-throughput data to their use as a reference repository. However, so far the various human metabolic networks described by these databases have not been systematically compared and contrasted, nor has the extent to which they differ been quantified. For a researcher using these databases for particular analyses of human metabolism, it is crucial to know the extent of the differences in content and their underlying causes. Moreover, the outcomes of such a comparison are important for ongoing integration efforts. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 8% |
| United States | 1 | 8% |
| France | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Germany | 2 | 2% |
| Switzerland | 1 | 1% |
| Portugal | 1 | 1% |
| Czechia | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 85 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 31% |
| Researcher | 31 | 31% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 7 | 7% |
| Professor | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 8 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 41% |
| Biochemistry, Genetics and Molecular Biology | 18 | 18% |
| Computer Science | 16 | 16% |
| Chemistry | 5 | 5% |
| Medicine and Dentistry | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 11 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 September 2023.
All research outputs
#1,492,054
of 25,079,131 outputs
Outputs from BMC Systems Biology
#20
of 1,131 outputs
Outputs of similar age
#6,604
of 141,523 outputs
Outputs of similar age from BMC Systems Biology
#2
of 40 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,131 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 40 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 97% of its contemporaries.