Diabetic Retinopathy
Springer US
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MicroRNA Profiling from Tears as a Potential Non-invasive Method for Early Detection of Diabetic Retinopathy
|
|---|---|
| Chapter number | 8 |
| Book title |
Diabetic Retinopathy
|
| Published in |
Methods in molecular biology, June 2023
|
| DOI | 10.1007/978-1-0716-3255-0_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163254-3, 978-1-07-163255-0
|
| Authors |
Wong, Wilson K. M., Polkamp, Mya, Farr, Ryan J., Kunte, Pooja S., Hardikar, Hrishikesh P., Yajnik, Chittaranjan S., Hardikar, Anandwardhan A., Joglekar, Mugdha V. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 50% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 50% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 June 2023.
All research outputs
#7,938,478
of 23,917,076 outputs
Outputs from Methods in molecular biology
#2,464
of 13,529 outputs
Outputs of similar age
#61,977
of 182,381 outputs
Outputs of similar age from Methods in molecular biology
#11
of 98 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 13,529 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 182,381 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 66% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.