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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Endothelial heterogeneity across distinct vascular beds during homeostasis and inflammation
|
|---|---|
| Published in |
eLife, January 2020
|
| DOI | 10.7554/elife.51413 |
| Pubmed ID | |
| Authors |
Ankit Jambusaria, Zhigang Hong, Lianghui Zhang, Shubhi Srivastava, Arundhati Jana, Peter T Toth, Yang Dai, Asrar B Malik, Jalees Rehman |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| Japan | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 234 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 23% |
| Researcher | 34 | 15% |
| Student > Bachelor | 25 | 11% |
| Student > Master | 21 | 9% |
| Student > Doctoral Student | 17 | 7% |
| Other | 32 | 14% |
| Unknown | 51 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 29% |
| Medicine and Dentistry | 27 | 12% |
| Agricultural and Biological Sciences | 25 | 11% |
| Neuroscience | 15 | 6% |
| Engineering | 12 | 5% |
| Other | 26 | 11% |
| Unknown | 61 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 14 December 2021.
All research outputs
#526,645
of 25,837,817 outputs
Outputs from eLife
#1,556
of 15,804 outputs
Outputs of similar age
#13,173
of 482,113 outputs
Outputs of similar age from eLife
#41
of 445 outputs
Altmetric has tracked 25,837,817 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 15,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one has done particularly well, scoring higher than 90% 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 482,113 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 97% of its contemporaries.
We're also able to compare this research output to 445 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 90% of its contemporaries.