| Title |
A framework for information extraction from tables in biomedical literature
|
|---|---|
| Published in |
International Journal on Document Analysis and Recognition (IJDAR), February 2019
|
| DOI | 10.1007/s10032-019-00317-0 |
| Authors |
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic |
X Demographics
The data shown below were collected from the profiles of 14 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 | 14% |
| India | 2 | 14% |
| Germany | 2 | 14% |
| United States | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Unknown | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Researcher | 13 | 14% |
| Student > Master | 10 | 11% |
| Other | 6 | 7% |
| Professor > Associate Professor | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 26 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 35% |
| Engineering | 9 | 10% |
| Agricultural and Biological Sciences | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 29 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 09 May 2023.
All research outputs
#1,599,587
of 24,099,692 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#1
of 166 outputs
Outputs of similar age
#43,620
of 485,711 outputs
Outputs of similar age from International Journal on Document Analysis and Recognition (IJDAR)
#1
of 3 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 4.4. 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 485,711 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them