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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MP-Align: alignment of metabolic pathways
|
|---|---|
| Published in |
BMC Systems Biology, May 2014
|
| DOI | 10.1186/1752-0509-8-58 |
| Pubmed ID | |
| Authors |
Ricardo Alberich, Mercè Llabrés, David Sánchez, Marta Simeoni, Marc Tuduri |
| Abstract |
Comparing the metabolic pathways of different species is useful for understanding metabolic functions and can help in studying diseases and engineering drugs. Several comparison techniques for metabolic pathways have been introduced in the literature as a first attempt in this direction. The approaches are based on some simplified representation of metabolic pathways and on a related definition of a similarity score (or distance measure) between two pathways. More recent comparative research focuses on alignment techniques that can identify similar parts between pathways. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 3% |
| Brazil | 1 | 3% |
| Iran, Islamic Republic of | 1 | 3% |
| Belgium | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 26 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Master | 4 | 13% |
| Professor | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 48% |
| Computer Science | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Mathematics | 2 | 6% |
| Arts and Humanities | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 6% |
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 09 June 2014.
All research outputs
#6,923,553
of 23,344,526 outputs
Outputs from BMC Systems Biology
#254
of 1,143 outputs
Outputs of similar age
#65,298
of 227,627 outputs
Outputs of similar age from BMC Systems Biology
#3
of 27 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 77% 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 227,627 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 71% of its contemporaries.
We're also able to compare this research output to 27 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 92% of its contemporaries.