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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chemlistem: chemical named entity recognition using recurrent neural networks
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2018
|
| DOI | 10.1186/s13321-018-0313-8 |
| Pubmed ID | |
| Authors |
Peter Corbett, John Boyle |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 20% |
| United States | 2 | 20% |
| Germany | 1 | 10% |
| Sweden | 1 | 10% |
| Japan | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Student > Master | 13 | 21% |
| Researcher | 8 | 13% |
| Student > Bachelor | 5 | 8% |
| Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 33% |
| Chemistry | 6 | 10% |
| Engineering | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 May 2019.
All research outputs
#5,028,811
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#456
of 891 outputs
Outputs of similar age
#108,343
of 444,663 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 24 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 48th percentile – i.e., 48% 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 444,663 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.