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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MIMO: an efficient tool for molecular interaction maps overlap
|
|---|---|
| Published in |
BMC Bioinformatics, May 2013
|
| DOI | 10.1186/1471-2105-14-159 |
| Pubmed ID | |
| Authors |
Pietro Di Lena, Gang Wu, Pier Luigi Martelli, Rita Casadio, Christine Nardini |
| Abstract |
Molecular pathways represent an ensemble of interactions occurring among molecules within the cell and between cells. The identification of similarities between molecular pathways across organisms and functions has a critical role in understanding complex biological processes. For the inference of such novel information, the comparison of molecular pathways requires to account for imperfect matches (flexibility) and to efficiently handle complex network topologies. To date, these characteristics are only partially available in tools designed to compare molecular interaction maps. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Norway | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| Italy | 2 | 5% |
| Greece | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 38% |
| Researcher | 16 | 38% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Student > Bachelor | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 26% |
| Computer Science | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 21% |
| Arts and Humanities | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 May 2013.
All research outputs
#14,753,163
of 22,710,079 outputs
Outputs from BMC Bioinformatics
#5,035
of 7,259 outputs
Outputs of similar age
#115,852
of 194,920 outputs
Outputs of similar age from BMC Bioinformatics
#92
of 126 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 194,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.