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Mendeley readers
Attention Score in Context
| Title |
tmChem: a high performance approach for chemical named entity recognition and normalization
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2015
|
| DOI | 10.1186/1758-2946-7-s1-s3 |
| Pubmed ID | |
| Authors |
Robert Leaman, Chih-Hsuan Wei, Zhiyong Lu |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United States | 2 | <1% |
| South Africa | 1 | <1% |
| Netherlands | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 204 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 24% |
| Student > Master | 44 | 21% |
| Researcher | 33 | 16% |
| Student > Bachelor | 14 | 7% |
| Other | 8 | 4% |
| Other | 25 | 12% |
| Unknown | 38 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 100 | 47% |
| Biochemistry, Genetics and Molecular Biology | 12 | 6% |
| Engineering | 9 | 4% |
| Agricultural and Biological Sciences | 8 | 4% |
| Chemistry | 7 | 3% |
| Other | 32 | 15% |
| Unknown | 44 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 April 2022.
All research outputs
#5,896,555
of 23,312,088 outputs
Outputs from Journal of Cheminformatics
#499
of 862 outputs
Outputs of similar age
#78,749
of 355,091 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 18 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 41st percentile – i.e., 41% 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 355,091 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 77% of its contemporaries.
We're also able to compare this research output to 18 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.