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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated annotation of chemical names in the literature with tunable accuracy
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2011
|
| DOI | 10.1186/1758-2946-3-52 |
| Pubmed ID | |
| Authors |
Jun D Zhang, Lewis Y Geer, Evan E Bolton, Stephen H Bryant |
| Abstract |
A significant portion of the biomedical and chemical literature refers to small molecules. The accurate identification and annotation of compound name that are relevant to the topic of the given literature can establish links between scientific publications and various chemical and life science databases. Manual annotation is the preferred method for these works because well-trained indexers can understand the paper topics as well as recognize key terms. However, considering the hundreds of thousands of new papers published annually, an automatic annotation system with high precision and relevance can be a useful complement to manual annotation. |
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 % |
|---|---|---|
| Germany | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| United Kingdom | 2 | 5% |
| France | 1 | 2% |
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| Iran, Islamic Republic of | 1 | 2% |
| Unknown | 33 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 34% |
| Student > Ph. D. Student | 9 | 22% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 29% |
| Agricultural and Biological Sciences | 7 | 17% |
| Computer Science | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 6 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 December 2011.
All research outputs
#3,072,123
of 22,659,164 outputs
Outputs from Journal of Cheminformatics
#315
of 825 outputs
Outputs of similar age
#24,982
of 239,425 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 21 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 61% 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 239,425 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 89% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.