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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
|
|---|---|
| Chapter number | 3 |
| Book title |
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding
|
| Published in |
arXiv, August 2019
|
| DOI | 10.1007/978-981-15-1956-7_3 |
| Book ISBNs |
978-9-81-151955-0, 978-9-81-151956-7
|
| Authors |
Jinta Weng, Ying Gao, Jing Qiu, Guozhu Ding, Huanqin Zheng |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Professor | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 24% |
| Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 1 | 3% |
| Design | 1 | 3% |
| Unknown | 17 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 October 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from arXiv
#543,330
of 954,782 outputs
Outputs of similar age
#253,896
of 340,729 outputs
Outputs of similar age from arXiv
#16,122
of 27,988 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,782 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 340,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,988 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.