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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer’s disease
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2872-8 |
| Pubmed ID | |
| Authors |
Han Yu, Rachael Hageman Blair |
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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 31% |
| Researcher | 6 | 13% |
| Student > Master | 4 | 9% |
| Professor > Associate Professor | 2 | 4% |
| Student > Bachelor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Engineering | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Computer Science | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 8 | 18% |
| Unknown | 16 | 36% |
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 28 July 2019.
All research outputs
#17,014,189
of 25,784,004 outputs
Outputs from BMC Bioinformatics
#5,371
of 7,746 outputs
Outputs of similar age
#219,441
of 361,352 outputs
Outputs of similar age from BMC Bioinformatics
#112
of 162 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 361,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.