| Title |
CERMINE: automatic extraction of structured metadata from scientific literature
|
|---|---|
| Published in |
International Journal on Document Analysis and Recognition (IJDAR), July 2015
|
| DOI | 10.1007/s10032-015-0249-8 |
| Authors |
Dominika Tkaczyk, Paweł Szostek, Mateusz Fedoryszak, Piotr Jan Dendek, Łukasz Bolikowski |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uzbekistan | 1 | 14% |
| United Kingdom | 1 | 14% |
| Poland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 1% |
| France | 1 | <1% |
| Uruguay | 1 | <1% |
| Cuba | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 159 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 17% |
| Student > Master | 25 | 15% |
| Student > Ph. D. Student | 24 | 14% |
| Other | 13 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 26 | 16% |
| Unknown | 41 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 74 | 45% |
| Engineering | 12 | 7% |
| Business, Management and Accounting | 7 | 4% |
| Agricultural and Biological Sciences | 5 | 3% |
| Social Sciences | 5 | 3% |
| Other | 20 | 12% |
| Unknown | 43 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 24 November 2021.
All research outputs
#1,980,839
of 23,842,189 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#4
of 161 outputs
Outputs of similar age
#25,622
of 264,969 outputs
Outputs of similar age from International Journal on Document Analysis and Recognition (IJDAR)
#1
of 2 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 161 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% 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 264,969 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 90% of its contemporaries.
We're also able to compare this research output to 2 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