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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes
|
|---|---|
| Published in |
BMC Bioinformatics, January 2020
|
| DOI | 10.1186/s12859-020-3375-3 |
| Pubmed ID | |
| Authors |
Huiwei Zhou, Shixian Ning, Zhe Liu, Chengkun Lang, Zhuang Liu, Bizun Lei |
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 % |
|---|---|---|
| India | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 14% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 40% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Business, Management and Accounting | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Environmental Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
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 31 January 2020.
All research outputs
#18,047,943
of 23,189,371 outputs
Outputs from BMC Bioinformatics
#6,002
of 7,345 outputs
Outputs of similar age
#311,663
of 451,744 outputs
Outputs of similar age from BMC Bioinformatics
#128
of 183 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 451,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.