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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records
|
|---|---|
| Published in |
The Lancet, March 2020
|
| DOI | 10.1016/s0140-6736(20)30360-3 |
| Pubmed ID | |
| Authors |
Huijun Chen, Juanjuan Guo, Chen Wang, Fan Luo, Xuechen Yu, Wei Zhang, Jiafu Li, Dongchi Zhao, Dan Xu, Qing Gong, Jing Liao, Huixia Yang, Wei Hou, Yuanzhen Zhang |
Twitter Demographics
The data shown below were collected from the profiles of 8,102 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2043 | 25% |
| United States | 229 | 3% |
| United Kingdom | 126 | 2% |
| Spain | 57 | <1% |
| Mexico | 41 | <1% |
| Canada | 32 | <1% |
| Australia | 28 | <1% |
| China | 27 | <1% |
| Venezuela, Bolivarian Republic of | 23 | <1% |
| Other | 410 | 5% |
| Unknown | 5086 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7716 | 95% |
| Practitioners (doctors, other healthcare professionals) | 186 | 2% |
| Scientists | 163 | 2% |
| Science communicators (journalists, bloggers, editors) | 36 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,656 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5656 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 689 | 12% |
| Student > Master | 536 | 9% |
| Researcher | 535 | 9% |
| Other | 350 | 6% |
| Student > Ph. D. Student | 339 | 6% |
| Other | 1272 | 22% |
| Unknown | 1935 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1437 | 25% |
| Nursing and Health Professions | 457 | 8% |
| Biochemistry, Genetics and Molecular Biology | 251 | 4% |
| Agricultural and Biological Sciences | 171 | 3% |
| Immunology and Microbiology | 140 | 2% |
| Other | 1044 | 18% |
| Unknown | 2156 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3911. 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 July 2023.
All research outputs
#1,244
of 24,513,158 outputs
Outputs from The Lancet
#92
of 41,794 outputs
Outputs of similar age
#62
of 363,611 outputs
Outputs of similar age from The Lancet
#14
of 421 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 41,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. This one has done particularly well, scoring higher than 99% 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 363,611 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 99% of its contemporaries.
We're also able to compare this research output to 421 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 96% of its contemporaries.