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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks
|
|---|---|
| Published in |
Nature Machine Intelligence, March 2023
|
| DOI | 10.1038/s42256-023-00628-2 |
| Authors |
Yeonghun Kang, Hyunsoo Park, Berend Smit, Jihan Kim |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| United States | 2 | 11% |
| United Kingdom | 2 | 11% |
| Brazil | 1 | 6% |
| Korea, Republic of | 1 | 6% |
| Sweden | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Researcher | 13 | 15% |
| Unspecified | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 39 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 13% |
| Chemical Engineering | 10 | 11% |
| Materials Science | 9 | 10% |
| Unspecified | 4 | 5% |
| Engineering | 4 | 5% |
| Other | 9 | 10% |
| Unknown | 40 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 April 2023.
All research outputs
#499,989
of 25,729,842 outputs
Outputs from Nature Machine Intelligence
#145
of 775 outputs
Outputs of similar age
#11,526
of 428,076 outputs
Outputs of similar age from Nature Machine Intelligence
#4
of 41 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 775 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.6. This one has done well, scoring higher than 81% 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 428,076 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 41 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 90% of its contemporaries.