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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Finding maximal bicliques in bipartite networks using node similarity
|
|---|---|
| Published in |
Applied Network Science, May 2019
|
| DOI | 10.1007/s41109-019-0123-6 |
| Authors |
Taher Alzahrani, Kathy Horadam |
X Demographics
The data shown below were collected from the profiles of 19 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 | 16% |
| France | 2 | 11% |
| United Kingdom | 2 | 11% |
| Australia | 1 | 5% |
| Spain | 1 | 5% |
| Germany | 1 | 5% |
| Argentina | 1 | 5% |
| Ecuador | 1 | 5% |
| Switzerland | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 33% |
| Social Sciences | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 08 May 2019.
All research outputs
#3,000,823
of 23,577,654 outputs
Outputs from Applied Network Science
#84
of 514 outputs
Outputs of similar age
#65,269
of 351,826 outputs
Outputs of similar age from Applied Network Science
#8
of 29 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 83% 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 351,826 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 81% of its contemporaries.
We're also able to compare this research output to 29 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 72% of its contemporaries.