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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes
|
|---|---|
| Published in |
BMC Systems Biology, May 2011
|
| DOI | 10.1186/1752-0509-5-89 |
| Pubmed ID | |
| Authors |
Jen-hwa Chu, Ross Lazarus, Vincent J Carey, Benjamin A Raby |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 35% |
| Researcher | 14 | 29% |
| Student > Master | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 39% |
| Computer Science | 8 | 16% |
| Engineering | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Mathematics | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 3 | 6% |
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 10 June 2011.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from BMC Systems Biology
#1,004
of 1,132 outputs
Outputs of similar age
#113,734
of 122,204 outputs
Outputs of similar age from BMC Systems Biology
#33
of 37 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 122,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.