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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward link predictability of complex networks
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, February 2015
|
| DOI | 10.1073/pnas.1424644112 |
| Pubmed ID | |
| Authors |
Linyuan Lü, Liming Pan, Tao Zhou, Yi-Cheng Zhang, H Eugene Stanley |
X Demographics
The data shown below were collected from the profiles of 33 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 | 10 | 30% |
| Spain | 3 | 9% |
| United Kingdom | 2 | 6% |
| France | 1 | 3% |
| Switzerland | 1 | 3% |
| Sweden | 1 | 3% |
| Finland | 1 | 3% |
| China | 1 | 3% |
| Japan | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 58% |
| Scientists | 13 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Portugal | 1 | <1% |
| Singapore | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 303 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 96 | 31% |
| Student > Master | 42 | 14% |
| Researcher | 26 | 8% |
| Professor > Associate Professor | 16 | 5% |
| Student > Bachelor | 14 | 5% |
| Other | 55 | 18% |
| Unknown | 59 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 96 | 31% |
| Physics and Astronomy | 33 | 11% |
| Agricultural and Biological Sciences | 21 | 7% |
| Mathematics | 18 | 6% |
| Engineering | 14 | 5% |
| Other | 54 | 18% |
| Unknown | 72 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 09 September 2020.
All research outputs
#1,887,439
of 25,837,817 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#23,649
of 103,917 outputs
Outputs of similar age
#25,608
of 364,160 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#382
of 974 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 76% 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 364,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 974 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 60% of its contemporaries.