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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid and asymmetric divergence of duplicate genes in the human gene coexpression network
|
|---|---|
| Published in |
BMC Bioinformatics, January 2006
|
| DOI | 10.1186/1471-2105-7-46 |
| Pubmed ID | |
| Authors |
Wen-Yu Chung, Reka Albert, Istvan Albert, Anton Nekrutenko, Kateryna D Makova |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 5% |
| Germany | 2 | 3% |
| Belgium | 2 | 3% |
| Switzerland | 2 | 3% |
| Israel | 1 | 2% |
| Brazil | 1 | 2% |
| Portugal | 1 | 2% |
| Iceland | 1 | 2% |
| Canada | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 43 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Professor > Associate Professor | 12 | 20% |
| Student > Ph. D. Student | 9 | 15% |
| Professor | 8 | 14% |
| Student > Doctoral Student | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 63% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Environmental Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 1 | 2% |
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 21 July 2017.
All research outputs
#18,562,247
of 22,990,068 outputs
Outputs from BMC Bioinformatics
#6,347
of 7,311 outputs
Outputs of similar age
#148,235
of 155,412 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 50 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,311 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 5th percentile – i.e., 5% 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 155,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.