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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Efficient Computation of Frequent and Top-k Elements in Data Streams
|
|---|---|
| Chapter number | 27 |
| Book title |
Database Theory - ICDT 2005
|
| Published in |
Lecture notes in computer science, January 2005
|
| DOI | 10.1007/978-3-540-30570-5_27 |
| Book ISBNs |
978-3-54-024288-8, 978-3-54-030570-5
|
| Authors |
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi, Metwally, Ahmed, Agrawal, Divyakant, Abbadi, Amr |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Portugal | 3 | 1% |
| Italy | 3 | 1% |
| Spain | 2 | <1% |
| Japan | 2 | <1% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 205 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 28% |
| Student > Master | 45 | 19% |
| Other | 31 | 13% |
| Researcher | 26 | 11% |
| Student > Bachelor | 11 | 5% |
| Other | 31 | 13% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 183 | 79% |
| Engineering | 9 | 4% |
| Agricultural and Biological Sciences | 3 | 1% |
| Physics and Astronomy | 2 | <1% |
| Mathematics | 2 | <1% |
| Other | 4 | 2% |
| Unknown | 28 | 12% |
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 2023.
All research outputs
#2,845,872
of 23,709,733 outputs
Outputs from Lecture notes in computer science
#583
of 8,158 outputs
Outputs of similar age
#8,490
of 142,334 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 132 outputs
Altmetric has tracked 23,709,733 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 8,158 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 particularly well, scoring higher than 92% 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 142,334 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 93% 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 particularly well, scoring higher than 92% of its contemporaries.