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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions
|
|---|---|
| Chapter number | 17 |
| Book title |
Advances in Computer Science for Engineering and Education II
|
| Published in |
arXiv, January 2019
|
| DOI | 10.1007/978-3-030-16621-2_17 |
| Book ISBNs |
978-3-03-016620-5, 978-3-03-016621-2
|
| Authors |
Vlad Taran, Yuri Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii Stirenko, Taran, Vlad, Gordienko, Yuri, Rokovyi, Alexandr, Alienin, Oleg, Stirenko, Sergii |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 39% |
| Engineering | 2 | 6% |
| Environmental Science | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 39% |
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 03 January 2019.
All research outputs
#14,149,828
of 23,120,280 outputs
Outputs from arXiv
#256,412
of 950,929 outputs
Outputs of similar age
#229,717
of 438,157 outputs
Outputs of similar age from arXiv
#6,641
of 23,804 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950,929 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 438,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,804 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.