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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Highly sensitive inference of time-delayed gene regulation by network deconvolution
|
|---|---|
| Published in |
BMC Systems Biology, December 2014
|
| DOI | 10.1186/1752-0509-8-s4-s6 |
| Pubmed ID | |
| Authors |
Haifen Chen, Piyushkumar A Mundra, Li Na Zhao, Feng Lin, Jie Zheng |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| China | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 56% |
| Student > Ph. D. Student | 3 | 17% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 39% |
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Arts and Humanities | 1 | 6% |
| Computer Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 December 2014.
All research outputs
#13,184,450
of 22,772,779 outputs
Outputs from BMC Systems Biology
#452
of 1,142 outputs
Outputs of similar age
#173,672
of 360,800 outputs
Outputs of similar age from BMC Systems Biology
#16
of 53 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 58% 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 360,800 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 51% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.