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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Classifying Process Instances Using Recurrent Neural Networks
|
|---|---|
| Chapter number | 25 |
| Book title |
Business Process Management Workshops
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-11641-5_25 |
| Book ISBNs |
978-3-03-011640-8, 978-3-03-011641-5
|
| Authors |
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung, Hinkka, Markku, Lehto, Teemu, Heljanko, Keijo, Jung, Alexander |
X Demographics
The data shown below were collected from the profiles of 5 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 | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Unknown | 16 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 38% |
| Engineering | 4 | 8% |
| Business, Management and Accounting | 3 | 6% |
| Economics, Econometrics and Finance | 2 | 4% |
| Energy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 35% |
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 18 September 2018.
All research outputs
#17,363,471
of 26,017,215 outputs
Outputs from arXiv
#315,994
of 938,014 outputs
Outputs of similar age
#218,427
of 350,419 outputs
Outputs of similar age from arXiv
#8,545
of 18,998 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 61% 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 350,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,998 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.