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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-Learning a Cross-lingual Manifold for Semantic Parsing
|
|---|---|
| Published in |
Transactions of the Association for Computational Linguistics, January 2023
|
| DOI | 10.1162/tacl_a_00533 |
| Authors |
Tom Sherborne, Mirella Lapata |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 29% |
| Researcher | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 57% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 August 2023.
All research outputs
#14,235,270
of 24,792,566 outputs
Outputs from Transactions of the Association for Computational Linguistics
#165
of 225 outputs
Outputs of similar age
#177,132
of 464,829 outputs
Outputs of similar age from Transactions of the Association for Computational Linguistics
#3
of 6 outputs
Altmetric has tracked 24,792,566 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 464,829 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 60% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.