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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioLemmatizer: a lemmatization tool for morphological processing of biomedical text
|
|---|---|
| Published in |
Journal of Biomedical Semantics, April 2012
|
| DOI | 10.1186/2041-1480-3-3 |
| Pubmed ID | |
| Authors |
Haibin Liu, Tom Christiansen, William A Baumgartner, Karin Verspoor |
| Abstract |
The wide variety of morphological variants of domain-specific technical terms contributes to the complexity of performing natural language processing of the scientific literature related to molecular biology. For morphological analysis of these texts, lemmatization has been actively applied in the recent biomedical research. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Hungary | 1 | 17% |
| Australia | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 165 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 52 | 30% |
| Student > Ph. D. Student | 33 | 19% |
| Researcher | 20 | 11% |
| Student > Bachelor | 10 | 6% |
| Lecturer | 7 | 4% |
| Other | 24 | 14% |
| Unknown | 28 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 65 | 37% |
| Agricultural and Biological Sciences | 19 | 11% |
| Engineering | 10 | 6% |
| Arts and Humanities | 10 | 6% |
| Social Sciences | 9 | 5% |
| Other | 26 | 15% |
| Unknown | 35 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 28 October 2022.
All research outputs
#2,219,634
of 23,578,918 outputs
Outputs from Journal of Biomedical Semantics
#29
of 361 outputs
Outputs of similar age
#13,578
of 162,559 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 6 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 361 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 91% 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 162,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 6 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.