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
| Chapter title |
Beyond Volume: The Impact of Complex Healthcare Data on the Machine
Learning Pipeline
|
|---|---|
| Chapter number | 9 |
| Book title |
Towards Integrative Machine Learning and Knowledge Extraction
|
| Published in |
arXiv, June 2017
|
| DOI | 10.1007/978-3-319-69775-8_9 |
| Book ISBNs |
978-3-31-969774-1, 978-3-31-969775-8
|
| Authors |
Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla |
X Demographics
The data shown below were collected from the profiles of 81 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 | 21 | 26% |
| United Kingdom | 9 | 11% |
| France | 5 | 6% |
| Nigeria | 3 | 4% |
| India | 3 | 4% |
| Mexico | 2 | 2% |
| Switzerland | 2 | 2% |
| Germany | 1 | 1% |
| Colombia | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 26 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 67 | 83% |
| Scientists | 11 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 27% |
| Researcher | 9 | 13% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 17 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 40% |
| Medicine and Dentistry | 5 | 7% |
| Business, Management and Accounting | 4 | 6% |
| Engineering | 4 | 6% |
| Decision Sciences | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 21 September 2018.
All research outputs
#784,477
of 25,130,202 outputs
Outputs from arXiv
#10,623
of 1,028,056 outputs
Outputs of similar age
#16,243
of 322,249 outputs
Outputs of similar age from arXiv
#249
of 16,641 outputs
Altmetric has tracked 25,130,202 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,028,056 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 322,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 16,641 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.