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Mendeley readers
Attention Score in Context
| Title |
Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases
|
|---|---|
| Published in |
PLoS Computational Biology, September 2009
|
| DOI | 10.1371/journal.pcbi.1000521 |
| Pubmed ID | |
| Authors |
Jiguang Wang, Shihua Zhang, Yong Wang, Luonan Chen, Xiang-Sun Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Denmark | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Hungary | 1 | <1% |
| Japan | 1 | <1% |
| Cuba | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 110 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 27% |
| Researcher | 26 | 21% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 8 | 6% |
| Other | 22 | 18% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 42% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Neuroscience | 4 | 3% |
| Other | 17 | 14% |
| Unknown | 10 | 8% |
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 18 December 2016.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,570
of 8,964 outputs
Outputs of similar age
#101,865
of 106,159 outputs
Outputs of similar age from PLoS Computational Biology
#53
of 54 outputs
Altmetric has tracked 25,394,764 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 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 106,159 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 54 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.