| Title |
Beyond word embeddings: learning entity and concept representations from large scale knowledge bases
|
|---|---|
| Published in |
Information Retrieval Journal, August 2018
|
| DOI | 10.1007/s10791-018-9340-3 |
| Authors |
Walid Shalaby, Wlodek Zadrozny, Hongxia Jin |
X Demographics
The data shown below were collected from the profiles of 42 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 States | 12 | 29% |
| Germany | 2 | 5% |
| India | 2 | 5% |
| Canada | 1 | 2% |
| Belgium | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 23 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 71% |
| Scientists | 11 | 26% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 19% |
| Student > Ph. D. Student | 23 | 17% |
| Researcher | 20 | 15% |
| Other | 18 | 13% |
| Student > Bachelor | 11 | 8% |
| Other | 16 | 12% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 62% |
| Mathematics | 6 | 4% |
| Linguistics | 5 | 4% |
| Engineering | 5 | 4% |
| Physics and Astronomy | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 21 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 03 November 2019.
All research outputs
#1,611,982
of 25,211,948 outputs
Outputs from Information Retrieval Journal
#1
of 184 outputs
Outputs of similar age
#32,737
of 337,504 outputs
Outputs of similar age from Information Retrieval Journal
#1
of 4 outputs
Altmetric has tracked 25,211,948 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 184 research outputs from this source. They receive a mean Attention Score of 3.7. 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 337,504 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 4 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