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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader
|
|---|---|
| Published in |
Sensors, February 2022
|
| DOI | 10.3390/s22051880 |
| Pubmed ID | |
| Authors |
Steven M. Russell, Alejandra Alba-Patiño, Andreu Vaquer, Antonio Clemente, Roberto de la Rica |
X Demographics
The data shown below were collected from the profiles of 8 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 | 4 | 50% |
| India | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Doctoral Student | 3 | 14% |
| Unspecified | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Unspecified | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 January 2023.
All research outputs
#3,005,038
of 25,392,582 outputs
Outputs from Sensors
#910
of 24,325 outputs
Outputs of similar age
#69,284
of 450,748 outputs
Outputs of similar age from Sensors
#43
of 1,386 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,325 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 450,748 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 84% of its contemporaries.
We're also able to compare this research output to 1,386 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 96% of its contemporaries.