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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Segmentation and Classification of Diabetic Glomerulosclerosis
|
|---|---|
| Published in |
Journal of the American Society of Nephrology, September 2019
|
| DOI | 10.1681/asn.2018121259 |
| Pubmed ID | |
| Authors |
Brandon Ginley, Brendon Lutnick, Kuang-Yu Jen, Agnes B Fogo, Sanjay Jain, Avi Rosenberg, Vighnesh Walavalkar, Gregory Wilding, John E Tomaszewski, Rabi Yacoub, Giovanni Maria Rossi, Pinaki Sarder |
X Demographics
The data shown below were collected from the profiles of 20 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 | 7 | 35% |
| France | 2 | 10% |
| Mexico | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Italy | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 6 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 16% |
| Student > Ph. D. Student | 13 | 11% |
| Student > Master | 11 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 47 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 24% |
| Computer Science | 11 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Mathematics | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 15 | 13% |
| Unknown | 51 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 138. 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 06 November 2022.
All research outputs
#300,590
of 25,399,318 outputs
Outputs from Journal of the American Society of Nephrology
#117
of 5,682 outputs
Outputs of similar age
#6,053
of 350,622 outputs
Outputs of similar age from Journal of the American Society of Nephrology
#4
of 59 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 97% 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 350,622 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 98% of its contemporaries.
We're also able to compare this research output to 59 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 94% of its contemporaries.