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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Photocatalytic metallic nanomaterials immobilised onto porous structures: Future perspectives for at-source pharmaceutical removal from hospital wastewater and potential benefits over existing technologies
|
|---|---|
| Published in |
Journal of Water Process Engineering, April 2023
|
| DOI | 10.1016/j.jwpe.2023.103553 |
| Authors |
Manuel-Thomas Valdivia, Mark A. Taggart, Sabolc Pap, Alistair Kean, Sharon Pfleger, Ian L. Megson |
X Demographics
The data shown below were collected from the profiles of 12 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 | 9 | 75% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Professor | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 12% |
| Environmental Science | 4 | 12% |
| Chemistry | 3 | 9% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 30 March 2023.
All research outputs
#3,211,561
of 23,504,445 outputs
Outputs from Journal of Water Process Engineering
#21
of 451 outputs
Outputs of similar age
#30,581
of 231,004 outputs
Outputs of similar age from Journal of Water Process Engineering
#1
of 8 outputs
Altmetric has tracked 23,504,445 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 451 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 231,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them