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 |
Fog Computing in Medical Internet-of-Things: Architecture,
Implementation, and Applications
|
|---|---|
| Chapter number | 11 |
| Book title |
Handbook of Large-Scale Distributed Computing in Smart Healthcare
|
| Published in |
arXiv, June 2017
|
| DOI | 10.1007/978-3-319-58280-1_11 |
| Book ISBNs |
978-3-31-958279-5, 978-3-31-958280-1
|
| Authors |
Harishchandra Dubey, Admir Monteiro, Nicholas Constant, Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler, Yan Sun, Qing Yang, Umer Akbar, Kunal Mankodiya |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 16% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Doctoral Student | 12 | 14% |
| Researcher | 9 | 11% |
| Student > Bachelor | 8 | 9% |
| Other | 15 | 18% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 51% |
| Engineering | 19 | 22% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Physics and Astronomy | 1 | 1% |
| Psychology | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 18 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 April 2020.
All research outputs
#6,025,987
of 22,982,639 outputs
Outputs from arXiv
#125,458
of 943,185 outputs
Outputs of similar age
#95,430
of 315,940 outputs
Outputs of similar age from arXiv
#2,428
of 18,895 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 943,185 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 315,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 18,895 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.