| Title |
HiPub: translating PubMed and PMC texts to networks for knowledge discovery.
|
|---|---|
| Published in |
Bioinformatics, August 2016
|
| DOI | 10.1093/bioinformatics/btw511 |
| Pubmed ID | |
| Authors |
Kyubum Lee, Wonho Shin, Byounggun Kim, Sunwon Lee, Yonghwa Choi, Sunkyu Kim, Minji Jeon, Aik Choon Tan, Jaewoo Kang |
| Abstract |
We introduce HiPub, a seamless Chrome browser plug-in that automatically recognizes, annotates and translates biomedical entities from texts into networks for knowledge discovery. Using a combination of two different named-entity recognition resources, HiPub can recognize genes, proteins, diseases, drugs, mutations and cell lines in texts, and achieve high precision and recall. HiPub extracts biomedical entity-relationships from texts to construct context-specific networks, and integrates existing network data from external databases for knowledge discovery. It allows users to add additional entities from related articles, as well as user-defined entities for discovering new and unexpected entity-relationships. HiPub provides functional enrichment analysis on the biomedical entity network, and link-outs to external resources to assist users in learning new entities and relations. HiPub and detailed user guide are available at http://hipub.korea.ac.kr CONTACT: [email protected], [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 19% |
| United States | 2 | 10% |
| United Kingdom | 2 | 10% |
| Italy | 1 | 5% |
| Spain | 1 | 5% |
| Russia | 1 | 5% |
| Australia | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 52% |
| Scientists | 8 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 35% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 9 | 17% |
| Professor | 4 | 7% |
| Student > Bachelor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 31% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Agricultural and Biological Sciences | 8 | 15% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 17 October 2023.
All research outputs
#633,202
of 25,713,737 outputs
Outputs from Bioinformatics
#99
of 12,895 outputs
Outputs of similar age
#12,636
of 383,072 outputs
Outputs of similar age from Bioinformatics
#3
of 230 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,895 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 99% 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 383,072 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 96% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.