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 |
Multi-disciplinary Trends in Artificial Intelligence
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-13365-2 |
| ISBNs |
978-3-31-913364-5, 978-3-31-913365-2
|
| Authors |
M. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng |
| Editors |
Murty, M. Narasimha, He, Xiangjian, Chillarige, Raghavendra Rao, Weng, Paul |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Researcher | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 29% |
| Social Sciences | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 October 2022.
All research outputs
#14,711,061
of 24,674,524 outputs
Outputs from Lecture notes in computer science
#4,083
of 8,154 outputs
Outputs of similar age
#174,484
of 316,804 outputs
Outputs of similar age from Lecture notes in computer science
#138
of 283 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 316,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.