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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Qualitative Comparison of Community Detection Algorithms
|
|---|---|
| Chapter number | 23 |
| Book title |
Digital Information and Communication Technology and Its Applications
|
| Published in |
arXiv, July 2012
|
| DOI | 10.1007/978-3-642-22027-2_23 |
| Book ISBNs |
978-3-64-222026-5, 978-3-64-222027-2
|
| Authors |
Günce Orman, Vincent Labatut, Hocine Cherifi, Günce Keziban Orman, Orman, Günce Keziban, Labatut, Vincent, Cherifi, Hocine |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Argentina | 1 | 20% |
| Korea, Republic of | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| United States | 2 | 2% |
| Portugal | 1 | <1% |
| Italy | 1 | <1% |
| Pakistan | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 108 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 38% |
| Student > Master | 23 | 19% |
| Researcher | 12 | 10% |
| Professor > Associate Professor | 7 | 6% |
| Student > Bachelor | 5 | 4% |
| Other | 10 | 8% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 53% |
| Engineering | 8 | 7% |
| Social Sciences | 7 | 6% |
| Business, Management and Accounting | 5 | 4% |
| Mathematics | 4 | 3% |
| Other | 16 | 14% |
| Unknown | 16 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 December 2022.
All research outputs
#2,296,850
of 23,299,593 outputs
Outputs from arXiv
#39,508
of 960,389 outputs
Outputs of similar age
#14,852
of 164,580 outputs
Outputs of similar age from arXiv
#118
of 3,747 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 960,389 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 164,580 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 90% of its contemporaries.
We're also able to compare this research output to 3,747 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.