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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Uncovering complex overlapping pattern of communities in large-scale social networks
|
|---|---|
| Published in |
Applied Network Science, May 2019
|
| DOI | 10.1007/s41109-019-0138-z |
| Authors |
Elvis H.W. Xu, Pak Ming Hui |
X Demographics
The data shown below were collected from the profiles of 32 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 | 3 | 9% |
| United Kingdom | 3 | 9% |
| Brazil | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Australia | 1 | 3% |
| Portugal | 1 | 3% |
| Canada | 1 | 3% |
| Italy | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 16 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 66% |
| Scientists | 9 | 28% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 21% |
| Researcher | 3 | 21% |
| Student > Master | 2 | 14% |
| Student > Ph. D. Student | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Computer Science | 2 | 14% |
| Physics and Astronomy | 2 | 14% |
| Economics, Econometrics and Finance | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 June 2019.
All research outputs
#2,115,806
of 24,458,924 outputs
Outputs from Applied Network Science
#47
of 542 outputs
Outputs of similar age
#45,173
of 354,615 outputs
Outputs of similar age from Applied Network Science
#6
of 31 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 91% 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 354,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.