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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supermultiplexed optical imaging and barcoding with engineered polyynes
|
|---|---|
| Published in |
Nature Methods, January 2018
|
| DOI | 10.1038/nmeth.4578 |
| Pubmed ID | |
| Authors |
Fanghao Hu, Chen Zeng, Rong Long, Yupeng Miao, Lu Wei, Qizhi Xu, Wei Min |
X Demographics
The data shown below were collected from the profiles of 83 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 States | 23 | 28% |
| France | 4 | 5% |
| Germany | 4 | 5% |
| Canada | 3 | 4% |
| Mexico | 3 | 4% |
| Israel | 3 | 4% |
| United Kingdom | 3 | 4% |
| Spain | 2 | 2% |
| Switzerland | 2 | 2% |
| Other | 12 | 14% |
| Unknown | 24 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 60% |
| Scientists | 29 | 35% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 309 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 23% |
| Researcher | 50 | 16% |
| Student > Master | 31 | 10% |
| Student > Bachelor | 18 | 6% |
| Student > Doctoral Student | 16 | 5% |
| Other | 43 | 14% |
| Unknown | 80 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 71 | 23% |
| Agricultural and Biological Sciences | 32 | 10% |
| Biochemistry, Genetics and Molecular Biology | 30 | 10% |
| Engineering | 24 | 8% |
| Physics and Astronomy | 24 | 8% |
| Other | 41 | 13% |
| Unknown | 87 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 18 February 2024.
All research outputs
#701,026
of 25,483,400 outputs
Outputs from Nature Methods
#905
of 5,372 outputs
Outputs of similar age
#16,921
of 469,744 outputs
Outputs of similar age from Nature Methods
#15
of 85 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.4. This one has done well, scoring higher than 83% 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 469,744 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 96% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.