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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Convolutional LSTM Networks for Subcellular Localization of Proteins
|
|---|---|
| Chapter number | 6 |
| Book title |
Algorithms for Computational Biology
|
| Published in |
arXiv, March 2015
|
| DOI | 10.1007/978-3-319-21233-3_6 |
| Book ISBNs |
978-3-31-921232-6, 978-3-31-921233-3
|
| Authors |
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| Portugal | 1 | <1% |
| Czechia | 1 | <1% |
| Israel | 1 | <1% |
| China | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 187 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 26% |
| Student > Master | 42 | 22% |
| Researcher | 26 | 13% |
| Student > Bachelor | 18 | 9% |
| Student > Doctoral Student | 14 | 7% |
| Other | 16 | 8% |
| Unknown | 27 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 63 | 32% |
| Engineering | 26 | 13% |
| Agricultural and Biological Sciences | 25 | 13% |
| Biochemistry, Genetics and Molecular Biology | 16 | 8% |
| Medicine and Dentistry | 5 | 3% |
| Other | 21 | 11% |
| Unknown | 38 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 June 2016.
All research outputs
#20,233,824
of 24,877,044 outputs
Outputs from arXiv
#568,185
of 1,011,426 outputs
Outputs of similar age
#194,700
of 263,903 outputs
Outputs of similar age from arXiv
#5,383
of 11,440 outputs
Altmetric has tracked 24,877,044 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,426 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 263,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11,440 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.