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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis
|
|---|---|
| Published in |
Analyst, January 2015
|
| DOI | 10.1039/c5an00464k |
| Pubmed ID | |
| Authors |
S. R. Corrie, J. W. Coffey, J. Islam, K. A. Markey, M. A. F. Kendall |
| Abstract |
Biosensors are being developed to provide rapid, quantitative, diagnostic information to clinicians in order to help guide patient treatment, without the need for centralised laboratory assays. The success of glucose monitoring is a key example of where technology innovation has met a clinical need at multiple levels - from the pathology laboratory all the way to the patient's home. However, few other biosensor devices are currently in routine use. Here we review the challenges and opportunities regarding the integration of biosensor techniques into body fluid sampling approaches, with emphasis on the point-of-care setting. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Greece | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 267 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 30% |
| Researcher | 33 | 12% |
| Student > Bachelor | 24 | 9% |
| Student > Master | 23 | 8% |
| Student > Postgraduate | 10 | 4% |
| Other | 35 | 13% |
| Unknown | 68 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 69 | 25% |
| Chemistry | 34 | 12% |
| Biochemistry, Genetics and Molecular Biology | 18 | 7% |
| Agricultural and Biological Sciences | 11 | 4% |
| Materials Science | 10 | 4% |
| Other | 45 | 16% |
| Unknown | 87 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 March 2023.
All research outputs
#6,097,560
of 23,495,502 outputs
Outputs from Analyst
#1,179
of 5,804 outputs
Outputs of similar age
#80,161
of 356,523 outputs
Outputs of similar age from Analyst
#71
of 361 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,804 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% 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 356,523 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 77% of its contemporaries.
We're also able to compare this research output to 361 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.