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 |
On the Initialization of Long Short-Term Memory Networks
|
---|---|
Chapter number | 23 |
Book title |
Neural Information Processing
|
Published in |
arXiv, December 2019
|
DOI | 10.1007/978-3-030-36708-4_23 |
Book ISBNs |
978-3-03-036707-7, 978-3-03-036708-4
|
Authors |
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen, Sebastien Ourselin, Lauge Sorensen, Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay, Modat, Marc, Cardoso, M. Jorge, Ourselin, Sébastien, Sørensen, Lauge |
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 Kingdom | 1 | 17% |
Denmark | 1 | 17% |
Japan | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 17% |
Other | 2 | 11% |
Lecturer | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 39% |
Mathematics | 1 | 6% |
Materials Science | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 8 | 44% |
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 02 January 2020.
All research outputs
#6,772,889
of 23,978,545 outputs
Outputs from arXiv
#145,475
of 1,010,913 outputs
Outputs of similar age
#142,067
of 465,427 outputs
Outputs of similar age from arXiv
#4,640
of 27,793 outputs
Altmetric has tracked 23,978,545 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,010,913 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 465,427 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 27,793 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.