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Mendeley readers
Attention Score in Context
| Chapter title |
Toward the Accurate Identification of Network Applications
|
|---|---|
| Chapter number | 4 |
| Book title |
Passive and Active Network Measurement
|
| Published in |
Lecture notes in computer science, January 2005
|
| DOI | 10.1007/978-3-540-31966-5_4 |
| Book ISBNs |
978-3-54-025520-8, 978-3-54-031966-5
|
| Authors |
Moore, Andrew W., Papagiannaki, Konstantina, Andrew W. Moore, Konstantina Papagiannaki |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 3 | 2% |
| United States | 3 | 2% |
| Japan | 2 | 1% |
| Czechia | 2 | 1% |
| United Kingdom | 2 | 1% |
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| Canada | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 170 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 31% |
| Student > Master | 30 | 16% |
| Researcher | 20 | 11% |
| Student > Bachelor | 14 | 7% |
| Student > Postgraduate | 9 | 5% |
| Other | 24 | 13% |
| Unknown | 34 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 124 | 65% |
| Engineering | 25 | 13% |
| Economics, Econometrics and Finance | 1 | <1% |
| Philosophy | 1 | <1% |
| Unknown | 39 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 August 2023.
All research outputs
#3,398,961
of 23,466,057 outputs
Outputs from Lecture notes in computer science
#764
of 8,159 outputs
Outputs of similar age
#10,333
of 141,718 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 132 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 141,718 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 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.