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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining entity co-occurrence with specialized word embeddings to measure entity relation in Alzheimer’s disease
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2019
|
| DOI | 10.1186/s12911-019-0934-5 |
| Pubmed ID | |
| Authors |
Go Eun Heo, Qing Xie, Min Song, Jeong-Hoon Lee |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 10% |
| Nursing and Health Professions | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Social Sciences | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 23 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 December 2019.
All research outputs
#3,300,159
of 23,179,757 outputs
Outputs from BMC Medical Informatics and Decision Making
#282
of 2,016 outputs
Outputs of similar age
#79,421
of 459,251 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 73 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 86% 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 459,251 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.