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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mouse models of lung-specific SARS-CoV-2 infection with moderate pathological traits
|
|---|---|
| Published in |
Frontiers in immunology, November 2022
|
| DOI | 10.3389/fimmu.2022.1055811 |
| Pubmed ID | |
| Authors |
Sung-Hee Kim, Jiseon Kim, Ji Yun Jang, Hyuna Noh, Jisun Park, Haengdueng Jeong, Donghun Jeon, Chanyang Uhm, Heeju Oh, Kyungrae Cho, Yoon Jeon, Dain On, Suhyeon Yoon, Soo-Yeon Lim, Sol Pin Kim, Youn Woo Lee, Hui Jeong Jang, In Ho Park, Jooyeon Oh, Jung Seon Seo, Jeong Jin Kim, Sang-Hyuk Seok, Yu Jin Lee, Seung-Min Hong, Se-Hee An, Seo Yeon Kim, Young Been Kim, Ji-Yeon Hwang, Hyo-Jung Lee, Hong Bin Kim, Kang-Seuk Choi, Jun Won Park, Jun-Young Seo, Jun-Won Yun, Jeon-Soo Shin, Ho-Young Lee, Kyoungmi Kim, Daekee Lee, Ho Lee, Ki Taek Nam, Je Kyung Seong |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 33% |
| India | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
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 > Master | 2 | 25% |
| Researcher | 1 | 13% |
| Professor | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 2 | 25% |
| Social Sciences | 1 | 13% |
| Chemistry | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 December 2023.
All research outputs
#14,966,733
of 25,448,590 outputs
Outputs from Frontiers in immunology
#13,235
of 31,673 outputs
Outputs of similar age
#179,881
of 429,715 outputs
Outputs of similar age from Frontiers in immunology
#597
of 1,728 outputs
Altmetric has tracked 25,448,590 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,673 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 56% 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 429,715 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 57% of its contemporaries.
We're also able to compare this research output to 1,728 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.