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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Shifting Valproic Acid to Levetiracetam in Women of Childbearing Age With Epilepsy: A Retrospective Investigation and Review of the Literature
|
|---|---|
| Published in |
Frontiers in Neurology, April 2020
|
| DOI | 10.3389/fneur.2020.00330 |
| Pubmed ID | |
| Authors |
Cheng-Yen Kuo, Yi-Hsuan Liu, I-Jun Chou, Huei-Shyong Wang, Po-Cheng Hung, Min-Liang Chou, Jainn-Jim Lin, Shih-Yun Lan, Meng-Ying Hsieh, Yi-Shan Wang, Kuang-Lin Lin |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 27% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Other | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 39% |
| Neuroscience | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Social Sciences | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 15 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 April 2020.
All research outputs
#2,941,620
of 23,203,401 outputs
Outputs from Frontiers in Neurology
#1,898
of 12,130 outputs
Outputs of similar age
#73,060
of 376,225 outputs
Outputs of similar age from Frontiers in Neurology
#122
of 316 outputs
Altmetric has tracked 23,203,401 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,130 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 83% 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 376,225 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 80% of its contemporaries.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.