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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effectiveness of tutoring at school: A machine learning evaluation
|
|---|---|
| Published in |
Technological Forecasting and Social Change, February 2024
|
| DOI | 10.1016/j.techfore.2023.123043 |
| Authors |
María Teresa Ballestar, Miguel Cuerdo Mir, Luis Miguel Doncel Pedrera, Jorge Sainz |
X Demographics
The data shown below were collected from the profiles of 83 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 13 | 16% |
| Mexico | 5 | 6% |
| Chile | 2 | 2% |
| Venezuela, Bolivarian Republic of | 2 | 2% |
| Ecuador | 2 | 2% |
| Colombia | 2 | 2% |
| Puerto Rico | 1 | 1% |
| France | 1 | 1% |
| Andorra | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 50 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 77 | 93% |
| Scientists | 6 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 25% |
| Other | 6 | 17% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 12 | 33% |
| Business, Management and Accounting | 5 | 14% |
| Engineering | 2 | 6% |
| Linguistics | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. 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 11 December 2023.
All research outputs
#681,396
of 25,734,859 outputs
Outputs from Technological Forecasting and Social Change
#35
of 2,423 outputs
Outputs of similar age
#10,312
of 346,380 outputs
Outputs of similar age from Technological Forecasting and Social Change
#1
of 36 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,423 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 98% 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 346,380 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 97% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.