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Mendeley readers
Attention Score in Context
Title |
PathLocdb: a comprehensive database for the subcellular localization of metabolic pathways and its application to multiple localization analysis
|
---|---|
Published in |
BMC Genomics, December 2010
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DOI | 10.1186/1471-2164-11-s4-s13 |
Pubmed ID | |
Authors |
Min Zhao, Hong Qu |
Abstract |
In eukaryotes, the cell is divided into several compartments enclosed by unitary membranes. Such compartmentalization is critical for cells to restrict different pathways to be carried out in different subcellular regions. The summary and classification of subcellular localizations of metabolic pathways are the first steps towards understanding their roles in spatial differentiation and the specialization of metabolic pathways in different organisms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
Italy | 1 | 5% |
Brazil | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 40% |
Student > Ph. D. Student | 5 | 25% |
Student > Master | 3 | 15% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 65% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Computer Science | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2011.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#152,358
of 190,671 outputs
Outputs of similar age from BMC Genomics
#58
of 81 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 190,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.