You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
MICAI 2007: Advances in Artificial Intelligence
|
|---|---|
| Published by |
Lecture notes in computer science, January 2007
|
| DOI | 10.1007/978-3-540-76631-5 |
| ISBNs |
978-3-54-076630-8, 978-3-54-076631-5
|
| Authors |
Alexander Gelbukh, Ángel Fernando Kuri Morales |
| Editors |
Alexander Gelbukh, Àngel Fernando Kuri Morales |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 7% |
| Portugal | 1 | 2% |
| Australia | 1 | 2% |
| Czechia | 1 | 2% |
| Egypt | 1 | 2% |
| Mexico | 1 | 2% |
| Russia | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 48 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 6 | 10% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 41% |
| Engineering | 10 | 17% |
| Linguistics | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 12 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 November 2021.
All research outputs
#4,764,396
of 23,885,338 outputs
Outputs from Lecture notes in computer science
#1,466
of 8,166 outputs
Outputs of similar age
#21,124
of 161,484 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 60 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,166 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 82% 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 161,484 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 86% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.