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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2020
|
| DOI | 10.1186/s12911-020-01352-2 |
| Pubmed ID | |
| Authors |
Jacqueline Peng, Mengge Zhao, James Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang, Yunyun Zhou |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Cuba | 1 | 9% |
| France | 1 | 9% |
| Brazil | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 17% |
| Medicine and Dentistry | 4 | 7% |
| Psychology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 29 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 September 2022.
All research outputs
#4,758,896
of 23,400,864 outputs
Outputs from BMC Medical Informatics and Decision Making
#433
of 2,020 outputs
Outputs of similar age
#128,413
of 503,776 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 57 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,020 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 503,776 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.