The data shown below were collected from the profiles of 141 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchically ordered porous carbon with atomically dispersed cobalt for oxidative esterification of furfural
|
|---|---|
| Published in |
Industrial Chemistry & Materials, January 2023
|
| DOI | 10.1039/d2im00045h |
| Authors |
Wen Yao, Chenghong Hu, Yajie Zhang, Hao Li, Fengliang Wang, Kui Shen, Liyu Chen, Yingwei Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 6 | 4% |
| Venezuela, Bolivarian Republic of | 6 | 4% |
| United States | 3 | 2% |
| Nigeria | 2 | 1% |
| India | 2 | 1% |
| Cuba | 2 | 1% |
| Russia | 1 | <1% |
| Uganda | 1 | <1% |
| Rwanda | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 112 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 132 | 94% |
| Scientists | 6 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 8 | 80% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 10% |
| Chemistry | 1 | 10% |
| Unknown | 8 | 80% |
Attention Score in Context
This research output has an Altmetric Attention Score of 124. 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 17 March 2023.
All research outputs
#350,807
of 26,182,648 outputs
Outputs from Industrial Chemistry & Materials
#1
of 77 outputs
Outputs of similar age
#8,487
of 487,439 outputs
Outputs of similar age from Industrial Chemistry & Materials
#1
of 41 outputs
Altmetric has tracked 26,182,648 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 77 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. 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 487,439 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 98% 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 97% of its contemporaries.