| Title |
Snow cover monitoring method by using HJ-1 satellite data.
|
|---|---|
| Published in |
Guang pu xue yu guang pu fen xi Guang pu, August 2011
|
| DOI | 10.1007/s00392-011-0356-6 |
| Pubmed ID | |
| Authors |
Li-Tao Wang, Yi Zhou, Qiang Zhou, Shi-Xin Wang, Fu-Li Yan |
X Demographics
The data shown below were collected from the profiles of 259 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 92 | 36% |
| United States | 5 | 2% |
| Germany | 2 | <1% |
| France | 2 | <1% |
| North Macedonia | 1 | <1% |
| Moldova, Republic of | 1 | <1% |
| Korea, Democratic People's Republic of | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 152 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 252 | 97% |
| Scientists | 3 | 1% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 8 | 23% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 40% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 363. 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 26 January 2024.
All research outputs
#89,461
of 25,748,735 outputs
Outputs from Guang pu xue yu guang pu fen xi Guang pu
#1
of 162 outputs
Outputs of similar age
#268
of 131,127 outputs
Outputs of similar age from Guang pu xue yu guang pu fen xi Guang pu
#1
of 5 outputs
Altmetric has tracked 25,748,735 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 162 research outputs from this source. They receive a mean Attention Score of 3.0. 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 131,127 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them