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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data
|
|---|---|
| Published in |
Political Analysis, April 2021
|
| DOI | 10.1017/pan.2021.9 |
| Authors |
Michelle Torres, Francisco Cantú |
X Demographics
The data shown below were collected from the profiles of 51 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 | 20 | 39% |
| Ireland | 2 | 4% |
| Japan | 1 | 2% |
| Germany | 1 | 2% |
| Norway | 1 | 2% |
| Australia | 1 | 2% |
| Mexico | 1 | 2% |
| United Kingdom | 1 | 2% |
| Denmark | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 35 | 69% |
| Members of the public | 14 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 32% |
| Researcher | 5 | 11% |
| Student > Bachelor | 3 | 6% |
| Student > Master | 3 | 6% |
| Professor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 16 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 22 | 47% |
| Computer Science | 5 | 11% |
| Chemical Engineering | 1 | 2% |
| Neuroscience | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 17 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 18 May 2021.
All research outputs
#1,262,391
of 25,587,485 outputs
Outputs from Political Analysis
#70
of 556 outputs
Outputs of similar age
#33,198
of 439,407 outputs
Outputs of similar age from Political Analysis
#3
of 16 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 87% 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 439,407 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 16 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.