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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hypergraphs and Cellular Networks
|
|---|---|
| Published in |
PLoS Computational Biology, May 2009
|
| DOI | 10.1371/journal.pcbi.1000385 |
| Pubmed ID | |
| Authors |
Steffen Klamt, Utz-Uwe Haus, Fabian Theis |
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 | 2 | 33% |
| Australia | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 3% |
| United Kingdom | 7 | 2% |
| Germany | 6 | 2% |
| Portugal | 4 | 1% |
| Iran, Islamic Republic of | 3 | <1% |
| India | 3 | <1% |
| Netherlands | 2 | <1% |
| Russia | 2 | <1% |
| Colombia | 2 | <1% |
| Other | 12 | 3% |
| Unknown | 329 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 29% |
| Researcher | 86 | 22% |
| Student > Master | 34 | 9% |
| Professor > Associate Professor | 28 | 7% |
| Professor | 22 | 6% |
| Other | 66 | 17% |
| Unknown | 36 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 106 | 28% |
| Computer Science | 79 | 21% |
| Biochemistry, Genetics and Molecular Biology | 35 | 9% |
| Engineering | 27 | 7% |
| Physics and Astronomy | 25 | 7% |
| Other | 58 | 15% |
| Unknown | 53 | 14% |
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 15 May 2021.
All research outputs
#8,588,963
of 25,508,813 outputs
Outputs from PLoS Computational Biology
#5,655
of 8,993 outputs
Outputs of similar age
#43,269
of 125,562 outputs
Outputs of similar age from PLoS Computational Biology
#29
of 43 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,993 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 33rd percentile – i.e., 33% 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 125,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.