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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ParaMed: a parallel corpus for English–Chinese translation in the biomedical domain
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2021
|
| DOI | 10.1186/s12911-021-01621-8 |
| Pubmed ID | |
| Authors |
Boxiang Liu, Liang Huang |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Ireland | 1 | 20% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Librarian | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 19% |
| Arts and Humanities | 1 | 6% |
| Linguistics | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 10 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 September 2021.
All research outputs
#7,959,656
of 24,641,620 outputs
Outputs from BMC Medical Informatics and Decision Making
#781
of 2,098 outputs
Outputs of similar age
#152,686
of 421,542 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 49 outputs
Altmetric has tracked 24,641,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,098 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 62% 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 421,542 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 63% of its contemporaries.
We're also able to compare this research output to 49 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 61% of its contemporaries.