| Title |
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
|
|---|---|
| Published in |
Neuroinformatics, November 2018
|
| DOI | 10.1007/s12021-018-9404-y |
| Pubmed ID | |
| Authors |
Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O’Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou |
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 % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
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 % |
|---|---|---|
| Researcher | 14 | 20% |
| Student > Master | 14 | 20% |
| Student > Ph. D. Student | 8 | 11% |
| Lecturer | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 19 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 33% |
| Neuroscience | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Psychology | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 21 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 July 2019.
All research outputs
#8,260,623
of 25,623,883 outputs
Outputs from Neuroinformatics
#150
of 432 outputs
Outputs of similar age
#135,251
of 355,376 outputs
Outputs of similar age from Neuroinformatics
#6
of 9 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 432 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 65% 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 355,376 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 61% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.