The data shown below were collected from the profiles of 2 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 |
17β-estradiol biosensors based on different bioreceptors and their applications
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, January 2024
|
| DOI | 10.3389/fbioe.2024.1347625 |
| Pubmed ID | |
| Authors |
Xinyi Wang, Fanli Kong, Yaoyao Liu, Shiya Lv, Kui Zhang, Shutong Sun, Juntao Liu, Mixia Wang, Xinxia Cai, Hongyan Jin, Shi Yan, Jinping Luo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 25% |
| Student > Master | 1 | 13% |
| Unknown | 5 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 13% |
| Psychology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 5 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 February 2024.
All research outputs
#16,797,897
of 26,461,995 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,425
of 8,819 outputs
Outputs of similar age
#178,492
of 382,153 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#37
of 356 outputs
Altmetric has tracked 26,461,995 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,819 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 69% 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 382,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.